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2013 YouTube Study Introduction and Credits

How long should my videos be? How often should I upload? How many words should I put in the video description to optimize for search? These and many more questions are asked by online media creators and brands every day. In the Spring of 2013 a group of un- dergraduate students in the and Mobile Media Concentration at Columbia College in Chicago (colum.edu/tv) explored best practices in using the YouTube platform by study- ing the approaches taken by its most successful users. The study focused on analyzing YouTube channels that succeeded in growing largest recurring audiences (most sub- scribed). If you aspire to build a popular YouTube channel for your internet show or build a brand presence on this platform, I hope you find this document to be a useful guide. All data is available in a format of multiple spreadsheets and can be accessed here: http://goo.gl/oYVrO

I’d like to thank the following students who worked hard collecting data, analyzing it, and writing summaries which allowed for this document to exist.

Chanel Armstrong (@nelly_latrice), Courtney Aubrecht (@caubrecht913), Gabriel Gitlevich (@1charmedboy), Quinton Hampton, Melinda Heaney, Adan Hernandez (@ajhrndz1021), Danielle Lucovich, Leland Tellefsen (@mlproductionz)

Wojciech Lorenc Assistant Professor Television Department Columbia College Chicago [email protected] @lumarange

i Table of Contents

1.Overview of YouTube’s Most Popular Content...... 3 Summary by Gabriel Gitlevich

2.Programming and Format Choices of The Top 100 Independent YouTube Channels...... 12 Summary by Leland Tellefsen

3. Intros, Credits, Pacing of The Top 100 Independent YouTube Channels...... 22 Summary by Adan Hernandez

4. Analysis of Video Engagement of The Top 100 Independent YouTube Channel...... 25 Summary by Melinda Heaney

5. Analysis of Web Presence of The Top 100 Independent YouTube Channels...... 31 Summary by Courtney Aubrecht

6. Charts...... 57

ii 1 summary by: Overview of YouTube’s Gabriel Gitlevich Most Popular Content Methodology

Methodology of this study required all students to go to vidstatsx.com and look at the top 241 most subscribed channels. The reason for this was that we wanted to look at the best practices of channels that managed to build significant repeat audiences and not just chan- nels that happened to have uploaded a viral hit. At this point, the channels were divided up to all the students by the teacher and given specific questions to answer pertaining to each channel, subsequently then added to specific google docs charts. Completion of this section was done week 1 of the spring 2013 semester. The goal is to gain an understand- ing of YouTube’s overall most popular content. A link to the table of total data is provided. All information for this part of the study can be located in TABLE C.

All data can be accessed here: http://goo.gl/oYVrO

Languages

It has been determined that the top 241 channels varied in languages from all around the world. When calculating the percentage of each language per channel, the total break- down of languages is as follows:

English, 205 Channels, 85% of the top 241 channels.

Spanish, 12 Channels, 5% of the top 241 channels.

Korean, 5 Channels, 5% of the top 241 channels.

Portuguese, 4 Channels, 1% of the top 241 channels.

German, 3 Channels, 1% of the top 241 channels.

French, 2 Channels, Less than 1% of the top 241 channels.

Hindi, 2 Channel, Less than 1% of the top 241 channels.

Russian, 2 Channels, Less than 1% of the top 241 channels.

4 Japanese/Chinese, 1 Channel, Less than 1% of the top 241 channels.

Middle Eastern, 1 Channel, Less than 1% of the top 241 channels.

Varies, 1 Channel, Less than 1% of the top 241 channels.

Serialized VS. Episodic Content

Moving forward with our study, we then divided up all the channels by specific genres and attributes. Specifically, serialized content, which is material that flows from one video to the next, and episodic content, which is material that does not continue from video to video. When determining how much content was serialized vs. episodic, we found that out of the 241 initially studied channels, only 1 appears to include serialized content. The only example of a channel in our study of the top 241 channels that appears to have predomi- nantly serialized content is Channel MachinimaPrime. Out of the 241 initially studied chan- nels, 240 appear to be episodic (non-serialized) content. VEVO channels are the most com- mon example of channels with predominantly non-serialized content in our study of the top 241 channels.

Genres

Firstly, we broke down channels into their respective genres beginning with . We sub- sequently found that out of the 241 initially studied channels, 79 appear to fall in the music genre which comes out to about 33%. The second genre of channels looked at were the genre. There we found that out of the 241 initially studied channels, 83 appear to fall in the comedy genre which comes out to about 34%. The third genre of focus was gaming channels. There we found that out of the 241 initially studied channels, 36 appear to fall in the gaming genre which comes out to about 15%. The final major genre of focus was fashion/beauty. There we found that out of the 241 initially studied channels, 14 ap- pear to fall in the fashion/beauty genre which comes out to about 6%. Examples of other genres that are present in our study are as follows: Short Films, Auto-Tune, Animated Mu- sic Videos, Drama Shorts, Educational, Demonstration, News, Sports, Exercise, Sci- ence, Commentary, Nature etc...

5 Independent Content VS. Extension of Large Brands

Secondly, we determined channels that appear to have independent content vs. content that is an extension of large brands. Independent content is produced by you, me, or any- one who has a camera on their that can upload videos to YouTube. Content that is an extension of large brands is anything that is produced by a major network or brand. There we discovered that out of the 241 initially studied channels, 165 appear to be pro- duced independently which comes out to about 68%. On the flip side, we found that out of the 241 initially studied channels, 78 appear to be extensions of large brands or tv shows which comes out to about 32%.

Thirdly, we broke it down even further into independent content vs. content that is an ex- tension of large brands with respect to the specific genres we looked at earlier. There we discovered that 30 of all the music channels in the initial 241 studied channels appear to be independent which comes out to about 37%. Examples of music channels from the 241 that appear to be independent are as follows: TylerWardMusic, megannicolesite, WongFuProductions, davedays, zeldaxlove64, MeganandLiz, meekakitty, VenetianPrin- cess, descealetra, gootmusic, David Choi, karmincovers, walkofftheearth, KurtHugoSchnei- der, kidrauhl, nicepeter etc...Out of all the music channels in the initial top 241 studied channels, 50 appear to be of large labels or famous artists which comes out to about 63%. Examples of YouTube channels from the top 241 that are music channels created by large music labels or famous artists are as follows: EminemVEVO, BritneySpearsVEVO, ColdplayVEVO, JustinBieberVEVO, OneDirectionVEVO, RihannaVEVO, KatyPerryVEVO, TaylorSwiftVEVO, AdeleVEVO, AvrilLavigneVEVO, TheXFactorUSA, SelenaGomezVEVO, ShakiraVEVO, BlackEyedPeasVEVO, PINKVevo etc...

Out of all the comedy channels in the initial top 241 studied, 75 appear to be independent which comes out to about 90%. Examples of comedy channels from the top 241 that ap- pear to be independent are as follows: elrubiusOMG, SteveKardynal, WHATTHEBUCK- SHOW, danisnotonfire, JacksGap, JLovesMac1, RhettandLink, NormanFaitDesVideos, To- byTurner, theDOMINICshow, TomSka, CaELike, MonsieurDream, shane, Felipe Neto etc...

Out of all the comedy channels in the initial top 241 studied, 7 appear to be extensions of larger brands or tv shows which comes out to about 10%. Examples of YouTube channels

6 from the top 241 that are comedy channels that appear to be extensions of larger brands or tv shows are as follows: collegehumor, machinima, TheEllenShow, JustForLaughsTV, ho- tandfluffycomedy, JimmyKimmelLive, MachinimaPrime.

Out of all the gaming channels in the initial top 241 studied, 28 appear to be independent which comes out to about 80%. Examples of gaming channels from the top 241 that ap- pear to be independent productions are as follows: BlueXephos, ThesyndicateProject, WhiteBoy7thst, SeaNanners, UberHaxorNova, SmoshGames etc...

Out of all the gaming channels in the initial top 241 studied, 7 appear to be extensions of larger brands which comes out to about 20%. Examples of YouTube channels from the top 241 that are gaming channels that appear to be extensions of larger brands are as follows: ChimneySwift11, MachinimaRealm, RandonsPlays, CALLOFDUTY, machinima etc...

Out of all the fashion/beauty channels in the initial top 241, 14 appear to be independent which comes out to a full 100%. Examples of fashion/beauty channels from the top 241 that appear to be independent productions are as follows: MichellePhan, bubzbeauty, la- dy16makeup, juicystar07, cutepolish, AllThatGlitters21, missglamorazzi, Macbarbie07, ijus- tine, AndreasChoice, kandeejohnson, dope2111, JLovesMac1, DulceCandy87.

Out of all the fashion/beauty channels in the initial top 241, 0 appear to be extensions of larger brands or tv shows which is equal to 0%. Given that 0% of fashion/beauty channels appear to be extensions of larger brands, there are no examples for fashion/beauty chan- nels that are extensions of larger brands in this study.

Subscribers

Finally, nearing the end of this part of the study, we determined the Mean, Median, and Mode of the total number of subscribers that appear on each channel. The Median num- ber, described as the number at the center of the total, chronological list of numbers, of subscribers in the top 241 channels is 1229875 or about 1.23 M. The Average number, cal- culated by adding all the numbers together and then dividing by the total amount of num- bers, of subscribers in the top 241 channels comes out to 1586976.88536515 or About 1.6 M.

7 The top 10 channels with their corresponding subscriber numbers are as follows:

1: ------7181876

2: RayWilliamJohnson ------7056141

3: nigahiga ------6786643

4: JennaMarbles ------6183526

5: machinima ------5973773

6: RihannaVEVO ------4971272

7: freddiew ------4454920

8: PewDiePie ------4316517

9: OneDirectionVEVO ------3921892

10: collegehumor ------3622258

The bottom 10 channels with their corresponding subscriber numbers are as follows:

1: egoraptor ------863870

2: YogscastSjin ------862054

3: break ------858231

4: ChimneySwift11 ------857246

5: yogscast2 ------854847

8 6: BritneySpearsVEVO ------852725

7: HolaSoyGerman2 ------852341

8: mbc ------845968

9: SpinninRec ------839413

10: BreakingNYC ------839219

Below is a graph that articulates the distribution of subscriber numbers of all 241 chan- nels: ****Left-Vertical Axis is to be labeled as the Number of Subscribers, and Horizontal Axis as Channels.****

9 Total Views

Lastly, repeating the steps from the last breakdown, but instead of focusing on subscriber numbers, we are now focusing on the number of total views. The Median number, the cen- ter number of the total, chronological list of numbers, of total views in the top 241 chan- nels is 269928056 or About 270 B. The Average number, calculated by adding all the num- bers together then dividing by the total amount of numbers, of total views in the top 241 channels which comes out to 527527975.858921 or About 527.5 M.

The top 10 channels with their corresponding total number of views is as follows:

1: smosh ------2070000000

2: RayWilliamJohnson ------2160000000

3: nigahiga ------1440000000

4: JennaMarbles ------957900000

5: machinima ------3990000000

6: RihannaVEVO ------3310000000

7: freddiew ------787000000

8: PewDiePie ------1100000000

9: OneDirectionVEVO ------1140000000

10: collegehumor ------1710000000

The bottom 10 channels with their corresponding total number of views is as follows:

10 1: egoraptor ------150100000

2: YogscastSjin ------104400000

3: break ------500200000

4: ChimneySwift11 ------244800000

5: yogscast2 ------124500000

6: BritneySpearsVEVO ------1340000000

7: HolaSoyGerman2 ------19500000

8: mbc ------899100000

9: SpinninRec ------1270000000

10: BreakingNYC ------87800000

11 2 summary by: Programming and Leland Tellefsen Format Choices of the Top 100 Independent YouTube Channels Methodology

This semester a Internet class at Columbia College took data from http://vidstatsx.com/ which provided us with our starting point of the top 241 most subscribed channels (Table C). The reason for this was that we wanted to look at the best practices of channels that managed to build significant repeat audiences and not just channels that happened to have uploaded a viral hit. From there we sorted out all of the big brands and TV extensions to come up with the top 100 independent YouTube channels (Table A). The reason we fo- cused on independent productions was because the research was meant as a study of best practices for independent content producers and not for large media companies, tv shows, music labels or known personalities. We also focused on channels that were in English (so we could understand them). Once we selected the 100 channels for our study we looked at 2 or 3 most recent videos from each channel. This gave us a pool of 286 videos that we studied carefully (Table B). We collected data during the months of January through February of 2013. All data can be accessed here: http://goo.gl/oYVrO

Genres

Initially, we took the top 100 independent youtube channels and found that 51 or 51% (TA- BLE A) were comedy channels. Some of these comedy channels include Epicmealtime, RayWilliamJohnson, Smosh, freddiew (TABLE A). Of the top 100 independent youtube channels 23, 23% (TABLE A) were gaming channels. Some of the gaming channels which we observed were Roosterteeth, TobyGames, SmoshGames, SeaNanners (TABLE A). Also, of the top 100 independent youtube channels 11 or 11% (TABLE A) were fashion/beauty channels. We took a look at JLovesMac1, DulceCandy87, kandeejohnson, juicystar07 (TA- BLE A) during our study. There are tons of other genres such as, , Slow Motion, Action/VFX, Commentary, Educational, Exercise (TABLE A) that were looked at during our study, but we focused on comedy, gaming and fashion/beauty for the bulk of our research.

Varied VS. Consistent Format

During our research, we realized that many channels used different formats for their audi- ences. We found that 36 or 36% (TABLE A) of the top 100 content creators used varied for- mats and structures to entertain their audiences. Channels such as, (fashion, tech-

13 nology, , etc.), TomSka (vlogs, animation, action), nigahiga (, comedy) (TABLE A). These channels chose to produce different content such as a vlog one day and then a skit the next day. These channels do not stick to a set schedule for every video. While 64 or 64% (TABLE A) of the top 100 utilized the TV style of consistent episodes for their audi- ences. Channels such as, RayWilliamJohnson (Comedy Show =3), smosh (Comedy/ Sketch), EpicMealTime (Extreme Cooking Show) (Table A) use this method very effectively. Theses channels produce consistent content that usually revolves around a show or skit. The audience knows exactly what kind of content they are going to get from these chan- nels.

Topical Content

Upon examining our research, we realized that many videos used topical content to attract viewers to keep their audience’s engaged. Looking at the top 100 channels and found that 53 (TABLE B) out of the 286 were topical videos. Which means that 18.5% (TABLE B) of the videos had elements of topical content within the video.

When looking at JUST THE GAMING CHANNELS in the top 100 channels, on average 1.43 (FIGURE 21) of the videos out of the most recent 10 videos appear to be topical. 0 (FIGURE 21) is the median number. The median was found by looking at the 10 most re- cent videos on gaming channels in the top 100 and finding that the most consistent num- ber of gaming channels do 0 topical content videos on their channel. In my opinion, Gam- ing channels do not benefit from topical content as many of the other channel categories do. It is also good practice to assume that some Gaming channel videos, such as walk- throughs, can benefit from being topical with new game releases. If you are the first chan- nel to have the “new” game walkthrough, then you’re more likely to gain more traffic to- wards your videos/channel.

When looking at JUST THE FASHION/BEAUTY CHANNELS in the top 100 channels, on av- erage 3.45 (FIGURE 22) videos out of the most recent 10 videos appear to be topical. 4 (FIGURE 22) is the median number. The median was found by looking at the 10 most re- cent videos on fashion/beauty channels in the top 100 and finding that the most consis- tent number of fashion/beauty channels do 4 topical content videos on their channel. In my opinion, a lot of fashion and beauty channels use award shows and “red carpet”

14 screenings to draw inspiration and ideas for their own video tutorials. So after an award show, content creators can find out what “look” their audience is looking for and capitalize by giving them topical content. This boosts their views and subscribers and helps their YouTube notoriety.

When looking at JUST THE ONE PERSON VLOG CHANNELS in the top 100 channels, on average 2.30 (FIGURE 23) videos out of the most recent 10 videos appear to be topical. 1 (FIGURE 23) is the median number. The median was found by looking at the 10 most re- cent videos on vlog channels in the top 100 and finding that the most consistent number of vlog channels do 1 topical content videos on their channel. In my opinion, vlogs are gen- erally talking about current events either personal or global so topical content lends itself easily to Vlogs. People like sharing their opinion and a vlog is a perfect avenue for people to express their opinions. Many vlogs are reactions to events and allows people to start a conversation.

When looking at JUST COMEDY CHANNELS in the top 100 channels, on average 2.47 (FIGURE 20) videos out of the most recent 10 videos appear to be topical. 1 (FIGURE 20) is the median number. The median was found by looking at the 10 most recent videos on comedy channels in the top 100 and finding that the most consistent number of comedy channels do 1 topical content videos on their channel. In my opinion, for comedy topical content usually revolves around the news and or world wide events. For instance, many comedy channels chose to parody the viral hit Gangam Style due to its quick rise to fame. The idea is that if people are already searching for something then if you put out some- thing similar the channel might gain some residual views and subscribers. This technique was also used during the recent “Harlem Shake” fad that took on the internet overnight.

461679.5 (FIGURE 91) is the median number of views in a video with topical content and 1661063.42 (FIGURE 91) is the average number of views in a video with topical content. According to these numbers, a content creator can still get sizable viewership by giving their audience topical content.

According to the rest of our data, 426764.5 (FIGURE 92) is the median number of views in a video with content that does not appear to be topical and 1226936.81 (FIGURE 92) is the average number of views in a video with content that does not appear to be topical. It

15 is clear that topical content gets more views than non-topical content. In my opinion, if someone was starting a channel, it would be very worthwhile to produce topical content rather than non-topical content.

Frequency of Posting

With any type of episodic content, the creator must come up with a set schedule for releas- ing content. When looking at the most successful channels on YouTube we found some patterns that can show some proven practices when it comes to scheduling content on YouTube. When looking at the top 100 independent YouTube channels, 5 (FIGURE 1) is the median number of videos posted in January per channel. This makes it approximately 1.25 videos per week. When looking at the top 100 independent YouTube channels, 11.27 (FIG- URE 1) is the average number of videos posted in January per channel. This makes it ap- proximately 2.81 videos per week. Overall it is clear that many channels use the idea that the TV style of programing of once per week is a starting point. As we get to more specific channel categories more patterns emerge.

Taking into consideration only COMEDY channels, 3 (FIGURE 8) is the median number of videos posted in January per channel. This makes it approximately 0.75 videos per week. Taking into consideration only COMEDY channels, 4.92 (FIGURE 8) is the average number of videos posted in January per channel. This makes it approximately 1.23 videos per week. Comedy channels seem to also implement the TV style of programing and this is probably due to the nature of the comedy format. It takes a lot more preparation such as script writing and actors to properly make their skit funny. Not to mention the comedic tim- ing during the editing process, which makes the time between pieces of content at least a week. Which explains the once per week schedule of most comedy channels.

Taking into consideration only GAMING channels, 31 (FIGURE 9) is the median number of videos posted in January per channel. This makes it approximately 7.75 videos per week. Taking into consideration only GAMING channels, 33.22 (FIGURE 9) is the average number of videos posted in January per channel. This makes it approximately 8.31 videos per week. Gaming channels are in the mindset of constant content. Many gaming channels have series that involve a particular game and audiences like to see the creator’s progres- sion compared to their own in certain games. The audience also can be entertained by the

16 personality that’s playing the games. Which means it doesn’t matter which games they are playing, but their personality stays the consistent. As for walkthroughs, a creator must have the entire game in order to attract audiences looking to figure out how to beat a par- ticular level. This means the creator must have an entire game in their videos, which al- ludes to the fact they must upload a TON of videos to satisfy their audience and gain new viewers.

Taking into consideration only FASHION/BEAUTY channels, 5 (FIGURE 10) is the median number of videos posted in January per channel. This makes it approximately 1.25 videos per week. Taking into consideration only FASHION/BEAUTY channels, 6.73 (FIGURE 10) is the average number of videos posted in January per channel. This makes it approximately 1.68 videos per week. Many fashion and beauty channels ask their audience for sugges- tions for their upcoming videos to not only connect with them, but to also figure what their audience wants to see. This conversation takes little time so it’s easier to upload more vid- eos. Explaining to more than once per week schedule as most other channel categories.

Taking into consideration only ONE PERSON VLOG channels, 5 (FIGURE 11) is the me- dian number of videos posted in January per channel. This makes it approximately 1.25 videos per week. Taking into consideration only ONE PERSON VLOG channels, 11.04 (FIG- URE 11) is the average number of videos posted in January per channel. This makes it ap- proximately 2.76 videos per week. As stated before, many vlogs are people reacting, stat- ing their opinions and/or telling stories. This accounts for the median 1.25 videos per week. On the other side of the spectrum, many vloggers choose to do daily vlogs. These types of vlogs skew our results when we look at the average 2.76 videos per week.

Taking into consideration all channels EXCEPT ONE PERSON VLOG channels, 5 (FIGURE 12) is the median number of videos posted in January per channel. This makes it approxi- mately 1.25 videos per week. Taking into consideration all channels EXCEPT ONE PER- SON VLOG channels, 11.04 (FIGURE 12) is the average number of videos posted in Janu- ary per channel. This makes it approximately 2.76 videos per week

Taking into consideration only SHOESTRING BUDGET channels, 5 (FIGURE 14) is the me- dian number of videos posted in January per channel. This makes it approximately 1.25 videos per week. Taking into consideration only SHOESTRING BUDGET channels, 12.64

17 (FIGURE 14) is the average number of videos posted in January per channel. This makes it approximately 3.16 videos per week. This schedule makes sense due to the lack of budget, many of their projects can get done quicker. This explains the average 3.16 videos per week.

Taking into consideration all channels EXCEPT SHOESTRING BUDGET, 5 (FIGURE 13) is the median number of videos posted in January per channel. This makes it approximately 1.25 videos per week. Taking into consideration all channels EXCEPT SHOESTRING BUDGET, 12.64 (FIGURE 13) is the average number of videos posted in January per chan- nel.

Video Length

During our research we wanted to know if there was a pattern with video length over- all in the top 100 channels and by each category. When looking at the 286 videos from the top 100 channels, the median video length is 259 seconds or 4:19 minutes (FIGURE 52) and the average video length is 389 seconds or 6:29 minutes (FIGURE 52). In my opin- ion, the overall average may be skewed due to the length of gaming channels seen below.

When looking at JUST COMEDY VIDEOS from that pool, the median video length is 205 seconds or 3:25 minutes (FIGURE 58) and the average video length is 241 seconds or 4:01 minutes (FIGURE 58). This information can give someone an idea of the appropriate length of comedy videos. ALL RESULTS IN THE FOLLOWING PARAGRAPHS ARE RELA- TIVE. NOT ALL PROJECTS NEED TO BE WITHIN THIS RANGE!

When looking at JUST GAMING VIDEOS from that pool, the median video length is 576 seconds or 9:36 minutes (FIGURE 59) and the average video length is 738 seconds or 12:18 minutes (FIGURE 59). This information can give someone an idea of the appropriate length of gaming videos.

When looking at JUST FASHION/BEAUTY VIDEOS from that pool, the median video length is 464 seconds or 7:44 minutes (FIGURE 60) and the average video length is 452 seconds or 7:32 minutes (FIGURE 60).This information can give someone an idea of the appropriate length of fashion/beauty videos.

18 When looking at JUST NEWS/COMMENTARY VIDEOS from that pool, the median video length is 535 seconds or 8:55 minutes (FIGURE 62) and the average video length is 539 seconds or 8:59 minutes (FIGURE 62).This information can give someone an idea of the appropriate length of news/commentary videos.

When looking at JUST VLOG VIDEOS from that pool, the median video length is 299 sec- onds or 4:59 minutes (FIGURE 61) and the average video length is 411 seconds or 6:51 minutes (FIGURE 61).This information can give someone an idea of the appropriate length of vlog videos.

Number of Talent in Video

We looked to see if there were similarities between channel categories and the number of talent in the video. We wanted to come up with the ideal number of talent on screen in or- der suggest our findings to other content creators.

When looking at JUST THE COMEDY channels in the top 100 independent YouTube chan- nels, 1 (FIGURE 24) is the median number of talent in the video. When looking at JUST THE COMEDY channels in the top 100 independent YouTube channels, 2.89 (FIGURE 24) is the average number of talent in the video. It is common that 1 person be on screen, un- less they are doing a skit which means more people will be on screen.

When looking at JUST THE GAMING channels in the top 100 independent YouTube chan- nels, 1 (FIGURE 25) is the median number of talent in the video. When looking at JUST THE GAMING channels in the top 100 independent YouTube channels, 1.35 (FIGURE 25) is the average number of talent in the video. Many commentate by themselves which means their audience is usually loyal to one channel.

When looking at JUST THE FASHION/BEAUTY channels in the top 100 independent You- Tube channels, 1 (FIGURE 26) is the median number of talent in the video. When looking at JUST THE FASHION/BEAUTY channels in the top 100 independent YouTube channels, 1.09 (FIGURE 26) is the average number of talent in the video. Creators usually use them- selves as their test subjects so they don’t need many other people.

19 Collaboration

Collaboration is a huge part of the YouTube community. It’s how many people gain audi- ences and notoriety which makes YouTube very helpful to new up and coming content creators. From the pool of 286 videos, 97 (TABLE B) videos had at least one additional talent/collaborator credited in video description which is 34% (TABLE B) of the 286 videos. Collaboration can also be seen through likes and shares between two creator’s content.

When looking at just COMEDY videos, 42% (TABLE B) had at least one additional talent/ collaborator credited in video description? When looking at just GAMING videos, only 2% (TABLE B) had at least one additional talent/collaborator credited in video description? When looking at just FASHION/BEAUTY videos, 21% (TABLE B) had at least one addi- tional talent/collaborator credited in video description? When looking at just NEWS/ COMMENTARY videos, 50% (TABLE B) had at least one additional talent/collaborator cred- ited in video description? In my opinion, just like a cross-over in two TV series, collabora- tion helps everyone involved and is a great way to gain a bigger audience.

Budget and Production Logistics

Through our research we found that many channels used a shoestring budget and small crew sizes to produce their content. We defined shoestring budget as project that had a single consumer or prosumer level camera, simple lighting setup, and easily accessible and inexpensive editing software. We found 85 or 85% (TABLE A) of the top 100 independ- ent youtube channels appear to utilize a shoestring budget. 96 or 96% (TABLE A) of the top 100 independent youtube channels appear to be shot with a “single camera” ap- proach. As for a more studio production only 4 or 4% (TABLE A) of the top 100 independ- ent youtube channels appear to be studio multi-cam productions.

Average crew sizes were also small across all categories. 2 (FIGURE 32) is the estimated median crew size of COMEDY channels. 2.27 (FIGURE 32) is the estimated average crew size of COMEDY channels. 1 (FIGURE 33) is the estimated median crew size of GAMING channels. 1.52 (FIGURE 33) is the estimated average crew size of GAMING channels. 2 (FIGURE 34) is the estimated median crew size of FASHION/BEAUTY channels. 1.82 (FIG- URE 34) is the estimated average crew size of FASHION/BEAUTY channels. These small

20 crews are very encouraging to potential content creators because of the low threshold it takes to start making content on YouTube.

Search Engine Optimization (SEO)

Search engine optimization allows content creators to connect all of their work together with links to websites/stores and branding options so they are easily searchable through Google and YouTube. When looking at the 286 videos from the top 100 channels, the me- dian number of words in video description is 56.5 (FIGURE 55) and the average number of words in video description is 81.87 (FIGURE 55). In my opinion, these numbers show that content creators are actively using SEO to enhance their online presence.

Many link to outlets in order to engage with their audience. When looking at the 286 videos from the top 100 channels, the median number of links to their own website, , fb, etc. in video description is 4 (FIGURE 56) and the average number of links to their own website, twitter, fb, etc. in video description is 4.64 (FIGURE 56). The data shows that many content creators are using SEO to connect with their audiences over different social media platforms. In my opinion, by engaging with their audience on so- cial media sites, YouTube gains an edge over TV because YouTube creators can easily communicate with their audiences in between pieces of content unlike TV.

21 3 summary by: Intros, Credits, Pacing Adan Hernandez of The Top 100 Independent Youtube Channels Methodology

In January, as a class we took the list from most subscribed YouTube channels category and looked at 241 channels. We eliminated the channels that were extensions of larger brands, music labels and other corporations. We focused on independent productions be- cause the research was meant to look at the best practices for independent producers. The list went from 241 channels to 100 independently owned channels (Table A). We then looked at the 2 or 3 most recent videos from from the 100 channels and that gave us a pool of 286 channels (Table B).

All data can be accessed here: http://goo.gl/oYVrO

Show Intros (Bumpers)

As a class, we looked at the top 100 independent YouTube channels and took the 3 most recent videos from each channel (Table A, Table B). We ended up with 286 videos and found out that a total 120 videos (42%) have an intro (bumper) (Table B). Looking at the 286 videos, the median length for introduction is 5 seconds long (Table B). The average length is 3 seconds long (Table B). As we can see, a majority of the videos do not have an introduction. For the videos that do include an introduction, it is kept very short. People go to YouTube for entertainment or for to gather information quickly. By skipping or having a short introduction, it keeps the viewers attention and they’ll be willing to watch the entire video.

Credits

We also took a look at ending credits and found out that 40 videos out of the 286 (14%) have credits. The average length for ending credits was 15 seconds (Table B).

Pacing

To calculate the pace of the videos, we looked at words per minute and also at cuts per minute. For comedy videos, the average and median of words per minute is 144. The aver- age cuts/minute was 3 and a median of 14. Gaming videos had a median of 162 words/ minute and an average of 162.7 words/minute (Figure B). The fashion videos had an aver-

23 age of 168 words/minute and a median of 174 word/minute (Table B). Vlog videos have an average of 168.4 words/minute and a median of 162 words/minutes (Table B). News/ commentary videos had an average of 145.75 words/minute and a median of 159 words/ minute (Table B). Many of these YouTube channels have created videos to inform people about what’s going on in (What The Buck Show), how to do your nails/hair (Jui- cystar07) or quick tutorials on how to create something. People go to YouTube to watch and learn something quick so the videos need to be quick. The on screen talent has to speak fast to keep their audience’s attention.

Gaming videos had an average of 3.39 cuts/minute with a median of 0 cuts/minute (Table B). Fashion videos have a median of 12 cuts/minute and average 14.68 cuts/minute (Table B). Vlogs have an average of 11.68 cuts/minute with a median of 10 cuts/minute (Table B).The average cuts/minute for news/commentary is 13.15 and a median of 12 cuts/ minute (Table B). From this information, it looks like videos like to switch cameras or scenes very quickly. This is to keep the video moving and the audience interested in what the talent has to say.

24 4 summary by: Analysis of Video Melina Heaney Engagement of The Top 100 Indeoentent YouTube Channels Methodology

For our Spring 2013 Programing Television Operations class at Columbia Chicago College we went to http://vidstatsx.com/ and chose to analyze the top 200 most subscribed chan- nels on youtube. This way we would be able to catalog youtube channels that had regular episodes as opposed to random viral youtube videos. The youtube channels were then categorized by genre such as: comedy, vlog, gaming, fashion, news, etc. The data was col- lected by all the students in our Spring class of 2013, who were then assigned to research a portion of the channels so that not everyone had to record their findings for 200 youtube channels.

All data can be accessed here: http://goo.gl/oYVrO

Audience Funneling and Interactive Buttons

When watching an episode on youtube of shows such as EpicMealTime or MagicofRahat you will find that some of them end with buttons/links in the video. These links typically in- clude previews to other episodes of their show.

Upon further investigation out of 286 videos about 194 of them ended with these buttons linking to other content, or in other words, 67.8% (see Table B).

Many videos on youtube also end with an invitation to subscribe to their channel. This can be a verbal invitation by the host themselves or by displaying a subscribe button at the end of their videos. By subscribing to a youtube channel you as the subscriber will get in- stant notification the second a new video is uploaded to youtube. While many youtube per- sonalities feel the need to remind their watchers to subscribe others feel it is unnecessary.

Out of 286 videos we investigated how many youtube videos ended with an invitation/ reminder to subscribe and as it turns out 142 ended with these such reminders, with equals 49.7%. (see Table B).

26 YouTube Comments

As many people know, anyone may comment on a video on youtube. (Unless for whatever reason the owner of said videos disables comments.) In order to estimate how many peo- ple do actually comment on videos they watch we determined that the median percentage of viewers who also commented on a video was 1%.

There are some very popular youtube videos out there but some of them have more com- ments than others. One video might have only 100 comments while another video has 18,000. However our research determined that the top 3 videos with the highest percent- age of comments were all gaming channels. These channels include game walkthroughs, reviews, LP’s (Let’s Play), and/or game related news in all of their video uploads.

WoodysGamerTag and TotalHaliBut are gaming channels where you watch people play video games, aka Let’s Play (LP) videos. JamesNintendoNerd is also a gaming channel only focuses more on the people commenting on the game rather than it’s actual game- play.

Apparently gaming channels on average get the most video comments. (see Table B).

The videos listed below are the 3 top videos that had the highest percentage of comments to views. (see Table B).

Channel Name # of Views # of Comments Percentage of Comments

WoodysGamerTag 13,461 239 10.57%

TotalHalibut 118,151 1,252 8.61%

JamesNintendoNerd 145,631 1,901 8.28%

27 The videos listed below are the three top videos found in our research that had the lowest percentage of comments to views.

Channel Name # of Views # of Comments % of Comments

Communitychannel 1,260,180 9,703 0.07%

TheFinebros 1,398,180 8,792 0.07%

ShaneDawsonTV 2,059,780 13,533 0.09%

Communitychannel’s video, although are normally vlogs, but in this case its a girl imitating Brad Pitt. Both the Thefinebros and ShaneDawsonTV videos are Harlem Shake parody vid- eos.

According to our research the videos with the smallest percentage of comments were vid- eos that didn’t contain their youtube channels typical content. For example, Thefinebros typical videos involve interviewing a certain age group of people. Thefinebros “Harlem Shake” video is one of the top videos that had the smallest percentage of comments. In fact two Harlem Shake videos are on the top of the list as having the lowest amount of comments. This research would seem to indicate that unrelated videos content doesn’t get as many comments.

Many videos on youtube ask viewers to leave comments. This could be as simple as put- ting a text box on your video asking people to comment (annotations), or a more direct ap- proach and having the host of the video vocally tell the audience to leave a comment on their video. Out of 286 videos 41 asked viewers to leave a comment, which equals out to 14.3%. (see Table B).

Below is a table showing the difference in the percentage of comments between videos that reminded their viewers to comment versus videos that didn’t.

28 Reminded to Comment Not Reminded to Comment

Average 2.4% Average 0.4%

Median 0.83% Median 0.2%

Videos on youtube can be put into many different genres. For the sake of our class re- search we divided our videos into five categories. These categories include Comedy, Gam- ing, Fashion/Beauty, Vlog, and News/Commentary. The table below demonstrates the dif- ferent range of comments youtube videos received based on their genre.

Video Genres % who Commented (Average) % who Commented (Median)

Comedy 0.9% 0.3%

Gaming 2.3% 1.4%

Fashion/Beauty 3.4% 1.9%

Vlog 1.3% 0.6%

News/Commentary 7.7% 4.9%

YouTube’s LIKE Button

When looking at videos on youtube there is a little something called the LIKE button. This makes is so viewers can express whether they think the video is good or not. Through our classes research we determined that the median percentage of viewers who also liked a video was 2.81% and the average percentage was 3.2%.

Below is a table showing the difference in how many videos received LIKES based on whether or not the video asked their viewers to do so.

The chart below demonstrates how videos with different genres vary in how many LIKES they may receive on their videos.

29 Video Genres % who Liked (Average) % who Liked (Median)

Comedy 0.93% 0.60%

Gaming 2.38% 1.57%

Fashion/Beauty 3.57% 2.46%

Vlog 1.32% 0.56%

News/Commentary 7.69% 2.26

30 5 summary by: Analysis of The Web Courtney Aubrecht Presence of The Top 100 Independent YoTube Channels Methodology

The data for this study was collected by students at Columbia College Chicago through an analysis of top YouTube channels. For the first data sample we collected information from vidstatsx.com, a website that has various data sets on the top YouTube channels, and we took data from the top 241 subscribed channels worldwide (TABLE C). The reason for this sample set was to analyze YouTube channels that have repeat audiences and eliminate those with random, viral hits. This way we could come to a more solid conclusion about the best practices for an online media creator.

Eventually we narrowed our study to the top 100 independent YouTube channels out of the top 241 described above (TABLE A). We chose those channels that were not exten- sions of a larger brand, organization, or music label in order to find the best practices for independent content producers and not large labels. We gathered data based on genre, number of videos, rate of delivery in the videos (cuts or words per minute), and other use- ful topics to determine trends and patterns. Data for this more refined set of samples was collected from vidstatsx.com as well as from the YouTube channels themselves. For some of the data, we calculated the mean, median, and mode of each number set. The mean is the average, the median is the number in the middle after the data set has been organized numerically from lowest to highest, and the mode is the number value that appears most often in a given data set.

All data can be accessed here: http://goo.gl/oYVrO

Web Presence

Of the top 100 independent YouTube channels, 60% of them have websites disassociated with their YouTube channel (TABLE A). This data suggests that a majority of the YouTube channels use YouTube as a bouncing-off point to create awareness and branch off to their own websites. Of the top 100 independent YouTube channels 33% have blogs overall. Only considering those channels with independent websites, 55% of those with websites have blogs (TABLE A). Not only are websites designed to promote and sell the media crea- tors on YouTube, but they allow for semi-personal discussions with the fans which further enforces the notion of the “single person audience” that most YouTube creators cater to-

32 ward. However, only 24% of the top YouTube channels have a message board for viewers to express their opinions and discuss topics about the channel, which shows that almost a third of the private websites allow for people to comment and discuss their material which creates a wall between the YouTube personality and the audience (TABLE A). A nearly even split of 48% of YouTube channels have a store to sell their channel-specific merchan- dise (TABLE A). So, it seems that some choose to market themselves even more than just on their channels yet others seem uninterested or not able to create their own products.

Almost all of the top 100 independent YouTube channels have a twitter account. In total, 99 out of the 100 (99%) have an account (TABLE A). Similarly, 98 (98%) out of the top 100 YouTube channels has a page. Clearly social media plays an important role in the success of an online media creator (TABLE A). Being able to connect, alert and share material or important events has proven to be a trend in the top YouTube channels. Twitter and Facebook, however, have proven themselves to be a potent media hub. Others, on the other hand, are still too new that the data suggests not too many YouTube channels have faith in them. Only 35% of the top YouTube channels have a G+ account, revealing that the strength of the new Google social media hub is burgeoning but is not as prolific as Facebook or Twitter (TABLE A). Only 21% of the top 100 channels has a account. If you’re going to have a blog, I guess you’d might as well have it on your own website (TA- BLE A). has only a meager 17% of the top YouTube channels using its service. I would presume that this number is affected by whether or not the programming is familial in nature to invite people to view their personal photos (TABLE A). Of the other media web- sites that is often used by these top channels, 6% have an iTunes page, 2% use Pinterest, 2% use ustream (a live broadcasting service), and a small 1% has an old relic: Myspace (TABLE A).

Clearly by analyzing the data, social media plays an important role for online media crea- tors to bring eyes to their videos and win over subscribers. It seems to be important, also, to not have all of your eggs in one basket for you’re bound to get more viewers when you broadcast yourself through several different online sources.

33 Facebook

The median number of Facebook posts of the top YouTube channels in January is 21 posts (Figure 31). This number divides into approximately 5.25 posts per week. And this figure reveals that they post approximately 0.7 posts per day. This suggests that barely 1 post per day is typical of the top 100 YouTube channels. It seems that an incessant num- ber of posts is not necessary; and this can further suggest that most fans only peruse the facebook page of the channel they like every once in awhile versus daily or repeatedly.

Based on average, the top 100 Youtube channels posted 39.33 Facebook posts in Janu- ary. This number comes to 9.83 Facebook posts per week. And this number breaks down even more to 1.31 Facebook posts per day (Figure 31). The data suggests that there isn’t much difference between the median values and the average values, showing that maybe one to two posts per day is typical of the average top YouTube channel. So again, Face- book, though used by 98% of the top channels, is used more like a subtle reminder to their fans more than an almost streaming broadcast of daily events.

Google Plus

The median number of G+ posts in January was a classy 0 for the top Youtube channels with a G+ account (Figure 40). This is 0 G+ posts per week in January. And of course 0 G+ posts per day. This data shows what was discussed earlier: many of the top channels rely on social media to spread the word but the newest social media hub, Google+, seems to be relatively insignificant for a large chunk of the top YouTube channels.

The average number of G+ posts in January of the top YouTube channels with a G+ ac- count was 12.29 (Figure 40). This comes to 3.07 G+ posts per week, or .41 G+ posts per day, based on the average value. This data, though at least not zero, still hints on the fact that G+ accounts aren’t as prolifically used like Facebook or Twitter, with an average of one post every three or more days.

Twitter

The median number of tweets posted in January of the top YouTube channels was 88 (Fig- ure 27). This totals 22 tweets per week, or 2.93 tweets per day, based on the median

34 value. The quick-form nature of Twitter with its limited text appears to create more fre- quent postings than the other social media websites.

The average number of tweets posted in January of the top YouTube channels was 213.23 (Figure 27). This figure comes to 53.31 tweets per week, or 7.11 tweets per day, based on the average value. This data reinforces the idea that Twitter is used quickly and often to share information with their followers. The difference between the median value and the av- erage value, (of 88 posts in January, median, to 213.23 posts in January, average) shows that there are some YouTube channels that use their twitter significantly more than others.

The median number of retweets posted in January of the top YouTube channels was 11 (Figure 28). Which comes to 2.75 retweets per week, or .367 retweets per day, based on the median value. Comparatively, the average number of retweets in January of the top YouTube channels came to 37.36 retweets (Figure 28). This makes 9.34 retweets per week, or 1.25 retweets per day, based on the average value. The differences in these two values signifies that there is a large range in terms of the number of retweets that a chan- nel will post in a month.

The median number of @mentions in January of the top YouTube channels was 35.5 men- tions (Figure 29). Which is 8.875 mentions per week, or 1.18 mentions per day, based on median value.The average number of @mentions in January of the top YouTube channels was 128.49 mentions (Figure 29). Which totals 32.12 mentions per week, or 4.28 mentions per day, based on average value.

The median number of hashtags was 4 hashtags in January (Figure 30). Totaling 1 hashtag per week, or .13 hashtags per day, based on median value. The average number of hashtags in tweets posted in January was 18.24 (Figure 30). This makes 4.56 hashtags per week, or .61 hashtags per day, based on average value.

In conclusion, there doesn’t seem be one “appropriate” number or range for anything asso- ciated with using Twitter when combining the data from all of the top 100 YouTube chan- nels. The large jump between the median and average values of all samples including the number of tweets, retweets, hashtags, and mentions shows that there are much larger

35 numbers pulling those averages up, entailing that there is no set “right” way to conduct your channel’s Twitter.

Twitter Use by Genre

In order to better find an observable trend, we broke down the data into their specific gen- res. This will narrow down the number of samples to see if we can better find a trend form- ing out of the genre instead of the group as a whole.

There was a median number of 71 tweets in the month of January for only Comedy chan- nels. (Figure 45) And this comes to 17.75 tweets per week, or 2.37 tweets per day, for only comedy channels based on median value. The average number of tweets in the month of January for only Comedy channels came to 142.52 tweets (Figure 45). This is 35.63 tweets per week, or 4.75 tweets per day for only Comedy channels, based on the average value. The difference between these two values is almost 1:2. Also, this data set implies that Comedy channels fall closer to the median range versus the average range when looking back to the previous numbers under the category TWITTER.

The median value for the number of tweets posted in January for only Gaming channels came to 165 tweets (Figure 46). This comes to 41.25 tweets per week, or 5.5 tweets per day, for only Gaming channels based on the median value. The average number of tweets posted in the month of January for Gaming channels came to 374.83 (Figure 46). This comes to 93.71 tweets per week, or 12.49 tweets per day, for only Gaming channels based on the average value. This difference is only slightly less than that for comedy chan- nels at a ratio of about 11:25. Again, there seems to be a big enough difference between the lowest values and the highest to suggest that there is no trend in the number of tweets per month for Gaming channels. The number of posts per day also is higher than the me- dian and average values found previously when considering ALL of the top 100 independ- ent Youtube channels combined.

The median number of twitter posts in the month of January for only Fashion/Beauty chan- nels came to 114 tweets (Figure 47). This comes to 28.5 tweets per week, or 3.8 tweets per day, for only Fashion/Beauty channels based on the median value. The average num- ber of tweets in January for only Fashion/Beauty channels comes to 229.91 tweets (Figure

36 47). This comes to 57.5 tweets per week, or 7.66 tweets per day, for only Fashion/Beauty channels based on the average value. These values are very close to being 1:2, just like the Comedy channels. And again, like comedy channels, this data set falls close to the median/average values found for all of the top 100 channels combined.

The median number of tweets in January for only One Person Vlog channels came to 101 tweets (Figure 48). Which comes to 25.25 tweets per week, or 3.37 tweets per day, for only One Person Vlog channels based on the median value. The average number of tweets in January for only One Person Vlog channels came to 207.71 tweets (Figure 48). This comes to 51.93 tweets per week, or 6.92 tweets per day, for only One Person Vlog chan- nels based on the average value. Again, the median value to the average value is almost 1:2.

The results of this genre sample have proven that all genres share an almost identical spread between the highest and lowest numbers of tweets in one month. The only slight difference was found in the Gaming channels. Their difference was not 50% or close to it; it was instead a 44% difference. This shows that the spectrum of highest to lowest is slightly more condensed with Gaming channels. Also, while the rest of the genres fell close to the range of the median and average number of posts considering all of the top 100 You- tube channels, Gaming channels had a significantly higher number of median/average tweets.

Twitter Use - Qualitative Analysis

The following are brief descriptions of 50 out of the 99 top YouTube channels with twitter accounts. Included in the data set are the YouTube channel name, their Twitter handle, the number of followers they have as of March 11, 2013 and a small description of their twitter habits. Following is the name of the person who collected the data.

1) TomSka, https://twitter.com/thetomska, 66 105 followers

He uses twitter a lot to write random thoughts throughout his day. Also responds to fans/ followers frequently. Sporadic jokes/sarcasm.

Prepared by: Danielle Lucovich

37 2) wafflepwn, https://twitter.com/wafflepwnvideo, 1 395 followers

Does not use twitter on a regular basis, although account does exist.

Prepared by: Danielle Lucovich

3) HISHEdotcom, https://twitter.com/simplecap, 7 023 followers

Comments on recent pop culture, animation related sites/people. Occasionally responds to followers. Mostly posts once or twice daily.

Prepared by: Danielle Lucovich

4) glozell1, https://twitter.com/GloZell, 401 950 followers

Promotes channel on twitter. Posts things going on in her community, or different topics she's interested about. Posts frequently throughout the day; 5-10 times

Prepared by: Danielle Lucovich

5) minutephysics, https://twitter.com/minutephysics, 36 174 followers

Promotes new videos on youtube channel. Responds/posts on science related issues. Reposts/retweets information about other science related articles, stories, and videos.

Prepared by: Danielle Lucovich

6) JLovesMac1, https://twitter.com/heyjarmaine, 84 146 followers

38 Gives updates on her previous or current videos. Talks to followers frequently; replies and has conversations with other people on twitter. Posts are random, no one subject is ever followed.

Prepared by: Danielle Lucovich

7) TmarTn, https://twitter.com/TmarTn, 168 819 followers

Posts very frequently throughout the day; random topics. Responds to questions, and has conversations with followers.

Prepared by Danielle Lucovich

8) bubzbeauty, http://www.twitter.com/bubzbeauty, 178 442 followers

Promotes her youtube videos and her webpage/blog. Posts frequently about beauty re- lated issues, occasionally lets followers know about her daily routine (what she did - shop- ping, meeting family, where she traveled)

Prepared by Danielle Lucovich

9) vlogbrothers, https://twitter.com/realjohngreen / https://twitter.com/hankgreen, 1 457 557 / 205 161 followers respectively.

Twitter for one of the brothers. Used frequently, posts 10+ throughout the day. Tags many others in posts. Topics discussed on page are at random.

Prepared by: Danielle Lucovich

39 10) kandeejohnson, https://twitter.com/kandeejohnson, 229 594 followers

Majority of tweets are beauty related; shopping, makeup. Occasionally tweets of her cur- rent thought or whereabouts. Sometimes responds to followers, but does not seem to be on a regular basis.

Prepared by Danielle Lucovich

11) CaptainSparklez, https://twitter.com/CaptainSparklez, 274 709 followers

Most of posts are game related. Occasionally lets followers know where he is, or what he is thinking. (Eating, traveling, feeling sick). Frequently posts about new games, tricks, and opinions of game related things.

Prepared by: Danielle Lucovich

12) PewDiePie, https://twitter.com/pewdiepie, 572 493 followers

Responds to others extremely frequently. Posts are sometimes about gaming; but mostly sporadic posts about his thoughts/feelings. No category for most of tweets.

Prepared by Danielle Lucovich

13)BreakingNYC, https://twitter.com/RayWJ, 1 391 452 followers

Since BreakingNYC is no longer running I’m not sure if they have or have ever had a twit- ter account. Although I’m pretty sure anything Ray William Johnson is working on would be under his personal twitter account.

Prepared by: Melinda Heaney

40 14) charlieissocoollike, https://twitter.com/coollike, 529 602 followers

Half of Charlie’s tweets are updates of new videos that he just uploaded. The other half of his tweets say things such as what he is eating, singing, or who he is hanging out with, such as Ken Plume.

Prepared by: Melinda Heaney

15) daneboe, https://twitter.com/daneboe, 83 959 followers

Dane Boe loves attaching pictures from his instagram to his twitter updates. He mostly takes pictures of his dog and retweets other funny pictures he’s found. He also makes a lot of references to .

Prepared by: Melinda Heaney

16) EpicMealTime, https://twitter.com/EpicMealTime, 421 361 followers

Most of epicmealtime’s tweets involve trying out new food and checking out their latest vid- eos. However they don’t just put up links to their own youtube channel but to other you- tube videos that involve food occasionally as well.

Prepared by: Melinda Heaney

17) KassemG, https://twitter.com/kassemg, 287 284 followers

Most of KassemG’s tweets are to other people. He references a lot of people in almost all of his tweets. Others are just him talking about random things he recently did or is thinking about.

41 Prepared by: Melinda Heaney

18) MagicOfRahat, https://twitter.com/MagicofRahat, 12 099 followers

About half of his tweets reference other people or responding to tweets they put up about him. Other tweets are of what he is doing on a day to day basis such as what movie he is going to see in the theaters and how he just bought girl scout cookies.

Prepared by: Melinda Heaney

19) MichellePhan, https://twitter.com/MichellePhan, 362 888 followers

Half of Michelle Phan’s tweets are pictures she takes from her instagram account. The other half is her referencing other people, her own website or videos.

Prepared by: Melinda Heaney

20) RayWilliamJohnson, https://twitter.com/RayWJ, 1 350 878 followers

Ray William Johnson is surprisingly the first famous whom I’ve noticed actually tweets twitter trends. Aside from that he puts a lot of pictures up from either his instagram or facebook and updates of his new videos.

Prepared by: Melinda Heaney

21) SmoshGames, https://twitter.com/SmoshGames, 76 409 followers

A lot of gamer info and pictures are posted on this twitter. Aside from that there are a few references to other videos but it’s mostly random gaming info.

42 Prepared by: Melinda Heaney

22) Thefinebros, https://twitter.com/thefinebros, 152 326 followers

The Fine Bro’s reference a lot of people and companies they collaborate with for their pro- jects. Aside from that they mostly just post random tweets such as “who wants a slumber party?” and “Lets everyone stop growing old. Deal?”

Prepared by: Melinda Heaney

23) TobyTurner, https://twitter.com/tobyturner, 521 808 followers

TobyTurner mostly tweets about things going on in his daily life such as things that are an- noying him or what he is currently thinking. However, literally every other tweet is either a link to his instagram or youtube, this may be to either one of his videos or other random videos on youtube he is unassociated with.

Prepared by: Melinda Heaney

24) UberHaxorNova, https://twitter.com/UberHaxorNova, 192 292 followers

I’d say about 70% of tweets are responses to other people’s tweets. The other 30% is about new uploaded videos and other news updates from their show.

Prepared by: Melinda Heaney

25) cutepolish, https://twitter.com/cutepolish, 27 788

43 This account is used to talk about their new videos being filmed/edited or posted. Once in a while the author would use it to have a conversation with a friend or follower.

Prepared by: Adan Hernandez

26) danisnotonfire, http://twitter.com/danisnotonfire, 389 938 followers

The account has tweets about what Dan does throughout the day. There are some tweets that talk about a new video being made. It also has some conversations with followers or friends.

Prepared by: Adan Hernandez

27) FaZeClan, https://twitter.com/FaZeClan, 143 180 followers

The channel uses Twitter to let everyone know about their new videos and when they will be online. It's also used to interact with their followers by asking them to submit videos to their channel or to tag them with a hashtag.

Prepared by: Adan Hernandez

28) HigaTV, https://twitter.com/therealryanhiga, 882 802 followers

Ryan uses Twitter to let his followers know about his current video status. He interacts with his followers by asking them about their opinions on movies or videos from his chan- nel. He also shares pictures from his Instagram account.

Prepared by: Adan Hernandez

44 29) juicystar07, https://twitter.com/juicystar007, 482 142 followers

She uses her Twitter account to give beauty tips to her followers. She also gives updates on her videos and what she is doing throughout her day.

Prepared by: Adan Hernadez

30) KSIOlajidebt, https://twitter.com/KSIOlajidebt, 445 556 followers

Twitter is used to let their followers know what's constantly going on in day. Some tweets were menting the status of their current video and when it was going to be uploaded to their YouTube channel.

Prepared by: Adan Hernadez

31) nigahiga, https://twitter.com/therealryanhiga, 882 802 followers

Ryan uses Twitter to let his followers know about his current video status. He interacts with his followers by asking them about their opinions on movies or videos from his chan- nel. He also shares pictures from his Instagram account.

Prepared by: Adan Hernandez

32) OwnagePranks, https://twitter.com/OwnagePranks, 47 274 followers

This account lets followers know when videos are going to be uploaded to the channel. He also mentions viewers who have left positive feedback on his channel.

Prepared by: Adan Hernandez

45 33) ShaneDawsonTV2, https://twitter.com/shanedawson, 1 043 396 followers

Shane uses his Twitter to keep everyone updated on his videos. He'll mention the current status every day and recommends videos to his followers.

Prepared by: Adan Hernandez

34) ThesyndicateProject, https://twitter.com/ProSyndicate, 549 426 followers

Twitter is used to let their followers know what major events are going on everyday. Some- times other YouTube videos are shared in this acount.

Prepared by: Adan Hernandez

35) Tobuscus, https://twitter.com/tobyturner, 521 652 followers

The Twitter account is used to let his followers know about his day and what new videos he's currently working on. Toby also shares a lot of pictures of his day.

Prepared by: Adan Hernandez

36) yogscast2, https://twitter.com/yogscast, 395 519 followers

The channel uses Twitter to let their followers know about the players' upcoming episodes. It also interacts with their followers and asks them to vote or like videos.

Prepared by: Adan Hernandez

37) Yogscastlalna, https://twitter.com/yogscast, 395 519 followers

46 The channel uses Twitter to let their followers know about the players' upcoming episodes. It also interacts with their followers and asks them to vote or like videos.

Prepared by: Adan Hernandez

38) barelypolitical, http://www.twitter.com/barelypolitical, 28 540 followers

BarelyPolitical often used their twitter account to promote their parodies as well as make commentary about other media trends, such as The Walking Dead news, celebrity news, et cetera. They sometimes retweeted others' tweets when they mention BarelyPolitical.

Prepared by: Courtney Aubrecht

39) break, https://twitter.com/Breakcom, 29 083 followers

Break mostly used their twitter account for promoting their video posts, however their URLs direct viewership to their main website, break.com, instead of YouTube. When they retweeted other tweets they were ones that commented on Break videos.

Prepared by: Courtney Aubrecht

40) communitychannel, https://twitter.com/natalietran, 178 736 followers

Natalie Tran of communitychannel uses her twitter almost entirely to tweet her thoughts and comment on her everyday life. She does not retweet others' tweets and when she does mention someone else, in an @ mention it is in response to a comment or question addresses to her.

Prepared by: Courtney Aubrecht

47 41) egoraptor, https://twitter.com/egoraptor, 75 383 followers

Egoraptor used his twitter mostly for conversation purposes, a majority of his tweets con- tain an @ mention. When he does retweet they are tweets that comment on his videos or other messages. Every now and then there will be a tweet promoting the material on his YouTube page.

Prepared by: Courtney Aubrecht

42) kipkay, https://twitter.com/kipkay, 8 276 followers

Kipkay tweets the links to his new videos and this appears to be the greatest use of his twitter account.Rarely there are instances where he retweets, and when he mentions some- one else in his tweets, they are in response to questions or comments tweeted to him.

Prepared by: Courtney Aubrecht

43) MinnesotaBurns, https://twitter.com/MinnesotaBurns, 132 502 followers

MinnesotaBurns uses his twitter to express random thoughts and comments he has throughout the day. He also has @ conversations and promotes his new videos in "3rd per- son" by @ mentioning his minnesotaburns account in his main twitter profile, Trollarch CEO. Often, too, he discusses sports.

Prepared by: Courtney Aubrecht

44) MondoMedia, https://twitter.com/mondomedia, 1 952 followers

MondoMedia mentions other YouTube profiles such as Game Grumps -- Egoraptor's other channel -- DreamWorks, Bill Nye and others. Their twitter seems to be a kind of media

48 news outlet, where they not only talk about their own videos but also discuss other videos and trending topics from other people.

Prepared by: Courtney Aubrecht

45) RhettandLink, http://www.twitter.com/rhettandlink, 36 557 followers RhettandLink promote their own videos on their YouTube page almost entirely with tag lines. They appear to have never retweeted nor do they often mention other people in their tweets.

Prepared by: Courtney Aubrecht

46) SHAYTARDS, http://twitter.com/shaycarl, 307 871 followers

Shaycarl, who runs the Shaytards page, tweets much like his YouTube page. He will share videos and instagram photos of his family randomly and very often. He responds to peo- ple who ask him questions and he also shares up coming events that involve him or his family.

Prepared by: Courtney Aubrecht

47) sixpackshortcuts, https://twitter.com/6PackShortcut, 807 followers

Sixpackshortcuts promotes their own videos as well as tips and tricks for exercises and dietary suggestions either through their own posts or by retweeting others' tweets. They mostly tweet their own videos and not too often retweet other tweets, but they do share in- formation for health through many different outlets.

Prepared by: Courtney Aubrecht

49 48) Vsauce2, https://twitter.com/VsauceTwo, 4 669 followers

Vsauce2 has never tweeted. Even though they have posted zero tweeets they still have over 4,000 twitter followers. The only thing directing traffic to their YouTube account is the description under their twitter profile which reads "watch us on YouTube".

Prepared by: Courtney Aubrecht

49) xJawz, https://twitter.com/xJawz, 198 592 followers xJawz uses his twitter mostly for conversational purposes. Almost all of his tweets have an @ mention in them. Some of his tweets are to his buddy, Justin Beiber, or are retweets of people fawning over him. He sometimes promotes his YouTube videos and often shares his instagram photos.

Prepared by: Courtney Aubrecht

50) JennaMarblesVlog, https://twitter.com/Jenna_Marbles, 2 616 053 followers

Jenna Marbles, from her JennaMarblesVlog YouTube profile, posts her random thoughts on her twitter profile. She promotes her own videos and often shares her instagram pho- tos. Sometimes but not always does she have conversations with others via @ mentions.

Prepared by: Courtney Aubrecht

51) BFvsGF, https://twitter.com/jessewelle, 230 834 followers

Both Jesse and Jeana have separate Twitter accounts instead of having one Twitter account that correlates with their YouTube show. I looked at both

50 but mostly Jeana’s account. She doesn’t mention many people but she did a few in reference to questions about a daily cleanse she is doing. @BryarlyBishop who has

24,943 followers and @CarlyCrib who has 7,375 followers. She tweets about 6 times a day and posts about their other activities for example her and Jesse weren’t going to do a Vlog one night but she told everyone to tune in to their YouNow.

Prepared by: Chanel Armstrong

52) Dope2111, https://twitter.com/TamangPhan, 38 970 followers

Found out she has 2 Twitter accounts. Most of her re-tweets on her main page are from her not so popular second page @promisephan. She tweets about 8 times a day so there are few mentions. She mentioned @EGSilmarwen who has 163 followers (I think this might be her boyfriend) and she sent a happy birthday tweet to @heartdefensor who has 39,493 followers. Tweets mostly about what she does best; makeup, nail art, etc. A few food pics and she has an IG @promisetamangphan.

Prepared by: Chanel Armstrong

53) DulceCandy87, https://twitter.com/dulcecandy87, 174 422 followers

Most of Dulce’s tweets are about herbrand new videos or letting her followers know that a new video will be posted soon. Small convos with friends, talks about new product on website BUT she really looks out for the little people. She mentioned @juju_Rachel who only has

51 89 followers. She was having issues with an order and Dulce took the time to acknowledge her and ensure that the problem will be fixed. How nice is that? Also mentioned @jessica46881819 who has 3 followers, @macnc40 16,405 followers, and @IsabellaSanzone with 5,117 followers.

Prepared by: Chanel Armstrong

54) JennaMarbles, https://twitter.com/Jenna_Marbles, 2 750 401 followers

No huge surprise but a lot of random tweets. Tweets about new videos and conversation with followers. @deweycooper 116 followers,

@TonyRowbo 30 followers, @MrSwags_21 31 followers. She’s in Ireland but she took the time to respond to these followers who have very little following. 2 twitter accounts (the 2nd might not be official) only an underscore differiantes the two.

About 6 tweets a day.

Prepared by: Chanel Armstrong

55) Matroix, https://twitter.com/OMGitsAliA, 156 948 followers

HATES low fat foods, he wants all the fat. Post links to new YouTube videos and engages in heavy conversation with followers. Not many random posts like the one above. Tweets about auto play features and other gaming “stuff” I don’t

52 personally understand. Mentions many people but a few are; @mrdavetherave41 with 2,319 followers, @iTempp with 18,104 followers and @tasshyy with 4,733 followers ( a girl gamer.)

Prepared by: Chanel Armstrong

56) Realannoyingorange, https://twitter.com/annoyingorange, 277 571 followers

Realannoyingorange is at SXSW, have a panel there today

@2pm. A LOT of “RT if you’re watching annoyingorange right now”. 7 tweets or less a day. Only mentioned people that were relavant to their show. For example

@tobyturner who starred in an episode, @petercoffin who was responsible for music in one episode, @cartoonnetwork and @grapefruitAO which is another fruit from the show and has 22,198 followers. About 7 tweets or less a day.

Prepared by: Chanel Armstrong

57) ShaneDawsonTV, https://twitter.com/shanedawson, 1 080 026 followers

The 5th birthday of his YouTube channel just passed. A LOT of tweets about new videos, when they are coming, he even posted that he is making a . Likes Shark Tank; would watch it every second if he could. He has things such as FOLLOW Saturday or Sunday and he tries to follow as many people as

53 he can. Hardly no mentions. About 8 tweets a day or less. He has an IG.

Prepared by Chanel Armstrong

58) Shaycarl, https://twitter.com/ShayCarl, 320 507 followers

Also at SXSW. Tweets about panel in Austin. Mentions quite a few people, fellow youtuber @wheezywaiter, @nalts also little people like @AveryC who has only 27 followers, @JordanChrisLA who has 11 followers and he gave him some inspirational advice “Nothing worth having in easy. Are you willing to give up before you try?”

Prepared by: Chanel Armstrong

59) Sxephil, https://twitter.com/PhillyD, 371 421 followers

He likes days where the only things he has to do are the things he wants to do. Quite a few random tweets, no mentions of regular people. He is a gamer.

Sim city was mentioned often. SourceFed was RT. Mentioned fellow youtuber

@stevezaragoza. Mentioned going to shoot Youtubers .

Prepared by: Chanel Armstrong

60) Thecomputernerd01, https://twitter.com/Chomikk, 74 880 followers

54 Cool Ranch Doritos Locos Tacos! Funny! Random tweets such as this. Majority of tweets are about new videos. A lot of conversation between him and followers. Birthday shoutout to @Joshsobo. Responded to @801scholar who has 115 followers, @jessloveshazza, and @_gerryyyannnee who has 336 followers.

Prepared by: Chanel Armstrong

61) Theslowmoguys, https://twitter.com/gavinfree, 174 225 followers

Doesn’t tweet everyday but when he does its about 5 or less. Gavin is the only one with a Twitter not his partner. Involved with Roosterteeth.com, a lot of references to them and @montyoum who is a part of it as well. Surprisingly, I saw no tweets about new posted videos. A lot of conversation with followers. Gavin told

@micahbuddy congratulations and he only has 355 followers, @nytrydr1818 14 followers and @analijae with 742 followers.

Prepared by: Chanel Armstrong

62) , https://twitter.com/Tweetsauce, 200 438 followers

Another one that doesn’t tweet everyday, when tweeting tweets about 3 times daily.

Prepared by: Chanel ArmstrongThe data shows that there are some Twitter accounts that are hardly used (#2 and #48) while others that are used almost everyday (#7, #9, #12, #18,

55 #26, #29, #33, #46), or are conversations with others on Twitter ( #25, #26, #41, #43). There seems to be a number of channels that have several posts per day, and this is what may have blown out the difference between the median and average values in the previ- ous samples with genres.

56 6 Charts All data is available in a format of multiple Google spreadsheets and can be accessed here: http://goo.gl/oYVrO

58 FIGURE 1, Video Posts Per Month PREPARED BY: GABRIEL GITLEVICH MEAN 11.27 BUCKETS # of Channels % MEDIAN 5 0-10 VIDEOS 67 67 MODE 0 11-20 VIDEOS 11 11 21-30 VIDEOS 6 6 31-40 VIDEOS 13 13 41-50 VIDEOS 3 3 Figure 2, Episode Length PREPARED BY: GABRIEL GITLEVICH MEAN 410.12 BUCKETS # of Channels % MEDIAN 297.5 100-300 51 51 MODE 297 301-500 24 24 501-700 11 11 701-900 6 6 901-1100 5 5 1101 + 3 3 Figure 4, Number of Talent on Screen PREPARED BY: GABRIEL GITLEVICH MEAN 2.195 BUCKETS # of Channels % MEDIAN 1 0-1 66 66 MODE 1 2 - 3 26 26 4 - 5 5 5 6 - 7 0 0 8 - 9 1 1 10 + 2 2 Figure 5, Estimated Size of Crew PREPARED BY: GABRIEL GITLEVICH MEAN 1.94 BUCKETS # of Channels % MEDIAN 2 0-2 76 76 MODE 1 3 - 5 20 20 6 - 8 4 4 Figure 6, Number of Blog Posts in January PREPARED BY: GABRIEL GITLEVICH MEAN 13.8125 BUCKETS # of Channels % MEDIAN 0 0-10 23 23 MODE 0 11 - 20 3 3 21-30 2 2 31-40 2 2 41 + 2 2 N/A 68 68 Figure 7, Number of G+ Posts in January PREPARED BY: GABRIEL GITLEVICH MEAN 12.2903225806452 BUCKETS # of Channels % MEDIAN 0 0 16 16 MODE 0 1 - 15 7 7 16 - 31 1 1 32 - 46 4 4 47 - 61 2 2 62 - 77 1 1 N/A 69 69 Figure 8, Number of videos posted in January (COMEDY Channels Only) PREPARED BY: GABRIEL GITLEVICH MEAN 4.92156862745098 MEDIAN 3 MODE 0

BUCKETS # % 0 12 12 1 - 5 26 26 6 - 10 6 6 11 - 15 4 4 16 - 20 1 1 21 - 25 1 1 26 - 30 0 0 31 - 35 1 1 REMAINDER 49 49

Figure 9, Number of videos posted in January (Gaming Channels Only) PREPARED BY: GABRIEL GITLEVICH MEAN 33.2173913043478 MEDIAN 31 MODE 38

BUCKETS # % 1 - 15 4 4 16 - 30 5 5 31 - 45 11 11 46 - 60 2 2 61 - 75 0 0 76 - 90 0 0 91 + 1 1 REMAINDER 77 77 Figure 10, Number of videos posted per months (Fashion/Beauty Channels Only) PREPARED BY: GABRIEL GITLEVICH MEAN 6.72727272727273 MEDIAN 5 MODE 5

BUCKETS # % 1 - 5 6 6 6 - 10 4 4 11 -15 0 0 16 - 20 2 2 REMAINDER 89 89 Figure 11, How many videos posted per month? (ONLY One Person Vlog Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 11.0425531914894 MEDIAN 5 MODE 0

BUCKETS # % 0 8 8 1 - 10 24 24 11 - 20 6 6 21 - 30 2 2 31 - 40 6 6 41 - 50 2 2 REMAINDER 53 53 Figure 12, Number of videos posted per month. (ALL Channels EXCEPT One Person Vlog Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 11.0425531914894 MEDIAN 5 MODE 0

BUCKETS # % 0 - 20 40 40 21 - 40 10 10 41 - 60 2 2 61 - 80 0 0 81 - 100 1 1 REMAINDER 47 47 Figure 13, Number of videos posted per month (ALL Channels EXCEPT Shoestring Budgets) PREPARED BY: GABRIEL GITLEVICH MEAN 12.6352941176471 MEDIAN 5 MODE 0

BUCKETS # % 0 4 4 1 - 10 7 7 11 - 20 1 1 21 - 30 1 1 31 - 40 0 0 41 - 50 1 1 REMAINDER 86 86 Figure 14, Number of videos posted per month? (ONLY Shoestring Budget Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 12.6352941176471 MEDIAN 5 MODE 0

BUCKETS # % 0 10 10 1 - 10 45 45 11 - 20 9 9 21 - 30 5 5 31 - 40 12 12 41 - 50 3 3 51 + 1 1 REMAINDER 14 14 Figure 15, Average Episode length in seconds. (ONLY Comedy Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 270.039215686275 MEDIAN 249 MODE 246

BUCKETS # % 100-200 14 14 201-300 23 23 301-400 9 9 401-500 4 4 501 + 1 1 REMAINDER 49 49 Figure 16, Average Episode length in seconds. (ONLY Gaming Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 756.739130434783 MEDIAN 702 MODE #N/A

BUCKETS # % 100-300 2 2 301-500 4 4 501-700 5 5 701-900 6 6 901-1100 3 3 1101-1300 1 1 1301-1500 0 0 1501 + 1 1 REMAINDER 77 77 Figure 17, Average Episode length in seconds. (ONLY Fashion/Beauty Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 395.636363636364 MEDIAN 393 MODE #N/A

BUCKETS # % 100-200 1 1 201-300 2 2 301-400 3 3 401-500 1 1 501-600 4 4 REMAINDER 89 89 Figure 18, Average Episode length in seconds. (ONLY One Person Vlog Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 433.553191489362 MEDIAN 320 MODE #N/A

BUCKETS # % 100-300 22 22 301-500 11 11 501-700 7 7 701-900 4 4 901-1100 1 1 1101 + 2 2 REMAINDER 53 53 Figure 19, Average Episode length in seconds. (ALL Channels EXCEPT One Person Vlog Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 433.553191489362 MEDIAN 320 MODE #N/A

BUCKETS # % 100-300 29 29 301-500 13 13 501-700 4 4 701-900 2 2 901-1100 4 4 1101 + 1 1 REMAINDER 47 47 Figure 20, Number of topical episodes out of last 10. (ONLY Comedy Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 2.47058823529412 MEDIAN 1 MODE 1

BUCKETS # % 0 - 1 27 27 2 - 3 12 12 4 - 5 5 5 6 - 7 3 3 8 - 9 0 0 10 4 4 REMAINDER 49 49 Figure 21, Number of topical episodes our of last 10. (ONLY Gaming Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 1.43478260869565 MEDIAN 0 MODE 0

BUCKETS # % 0 17 17 1 3 3 2 - 9 0 0 10 3 3 REMAINDER 67 67 Figure 22, Number of topical episodes out of last 10. (ONLY Fashion/Beauty Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 3.45454545454545 MEDIAN 4 MODE 0

BUCKETS # % 0 - 1 3 3 2 - 3 2 2 4 - 5 3 3 6 - 7 2 2 8 - 9 1 1 REMAINDER 89 89 Figure 23, Number of topical episodes out of last 10. (ONLY One Person Vlog Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 2.29787234042553 MEDIAN 1 MODE 0

BUCKETS # % 0 21 21 1 - 2 12 12 3 - 4 6 6 5 - 6 2 2 7 - 8 0 0 9 - 10 6 6 REMAINDER 53 53 Figure 24, Number of talent on screen. (ONLY Comedy Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 2.8921568627451 MEDIAN 1 MODE 1

BUCKETS # % 0 - 1 26 26 2 - 3 20 20 4 - 5 3 3 6 - 7 0 0 8 - 9 1 1 10 + 1 1 REMAINDER 49 49 Figure 25, Number of talent on screen. (ONLY Gaming Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 1.34782608695652 MEDIAN 1 MODE 1

BUCKETS # % 1 20 20 2 1 1 3 0 0 4 1 1 5 1 1 REMAINDER 77 77 Figure 26, Number of talent on screen. (ONLY Fashion/Beauty Channels) PREPARED BY: GABRIEL GITLEVICH MEAN 1.09090909090909 MEDIAN 1 MODE 1

BUCKETS # % 1 10 10 2 1 1 REMAINDER 89 89 Figure 27, Number of Tweets in January PREPARED BY: Courtney Aubrecht

MEAN 213.229166666667 MEDIAN 88 MODE 20

BUCKETS: # of Channels % 0-100 tweets 52 0.536082474226804 101-200 tweets 18 0.185567010309278 201-300 tweets 7 0.072164948453608 301-400 tweets 3 0.030927835051546 401-500 tweets 4 0.041237113402062 501-600 tweets 2 0.020618556701031 601+ tweets 8 0.082474226804124 Figure 28, Number of Retweets in January PREPARED BY: Courtney Aubrecht

MEAN 37.360824742268 MEDIAN 11 MODE 0

BUCKETS: # of Channels % 0-20 retweets 63 0.649484536082474 21-40 retweets 10 0.103092783505155 41-60 retweets 7 0.072164948453608 61-80 retweets 6 0.061855670103093 81-100 retweets 2 0.020618556701031 101+ retweets 9 0.092783505154639 Figure 29, Number of @Mentions in January PREPARED BY: Courtney Aubrecht

MEAN 128.489130434783 MEDIAN 35.5 MODE 0

BUCKETS: # of Channels % 0-20 @s 42 0.456521739130435 21-40 @s 11 0.119565217391304 41-60 @s 9 0.097826086956522 61-80 @s 4 0.043478260869565 81-100 @s 1 0.010869565217391 101+ @s 25 0.271739130434783 Figure 30, Number of #Hashtags in January PREPARED BY: Courtney Aubrecht

MEAN 18.2371134020619 MEDIAN 4 MODE 0

BUCKETS # of Channels % 0-20 #s 76 0.783505154639175 21-40 #s 11 0.11340206185567 41-60 #s 1 0.010309278350516 61-80 #s 4 0.041237113402062 81-100 #s 2 0.020618556701031 101+ #s 3 0.030927835051546 Figure 31, Number of Facebook Posts in January PREPARED BY: Courtney Aubrecht

MEAN 39.33 MEDIAN 21 MODE 5

BUCKETS: # of Channels % 0-20 posts 48 0.494845360824742 21-40 posts 13 0.134020618556701 41-60 posts 5 0.051546391752577 61-80 posts 12 0.123711340206186 81-100 posts 10 0.103092783505155 101+ posts 7 0.072164948453608 Figure 32, Estimated Crew Suze for COMEDY channels PREPARED BY: Courtney Aubrecht

MEAN 2.27 MEDIAN 2 MODE 1

BUCKETS: Crew Size: # of Channels % 0 1 0.02 1 17 0.33 2 13 0.25 3 10 0.20 4 3 0.06 5 1 0.02 6 2 0.04 7 0 0.00 8 1 0.02 Figure 33, Estimated Crew Size for GAMING Channels PREPARED BY: Courtney Aubrecht

MEAN 1.52173913043478 MEDIAN 1 MODE 1

BUCKETS # of Channels % 0 crew members 1 0.04 1 crew member 16 0.70 2 crew members 5 0.22 3 crew members 0 0.00 4 crew members 1 0.04 5 crew members 0 0.00 6 crew members 1 0.04 Figure 34, Estimated Size of Crew for FASHION/BEAUTY Channels PREPARED BY: Courtney Aubrecht

MEAN 1.82 MEDIAN 2 MODE 2.00

BUCKETS: Crew size: # of Channels % 1 member 5 0.45 2 members 5 0.45 3 members 0 0 4 members 0 0.00 5 members 1 0.09 Figure 35, Blogs posts in Jan (websites with blogs) PREPARED BY: Courtney Aubrecht

MEAN 13.8125 MEDIAN 0 MODE 0

BUCKETS: #of Channels % 0-20 posts 26 0.79 21-40 posts 4 0.12 41-60 posts 0 0.00 61-80 posts 1 0.03 81+ posts 1 0.03 Figure 36, Blog posts in Jan (COMEDY) PREPARED BY: Courtney Aubrecht

MEAN 8.5625 MEDIAN 0 MODE 0

BUCKETS: # of Channels % 0-10 posts 12 0.75 11-20 posts 2 0.125 21-30 posts 1 0.0625 31-40 posts 0 0 41-50 posts 0 0 51+ posts 1 0.0625 Figure 37, Blog Posts in Jan (GAMING) PREPARED BY: Courtney Aubrecht

MEAN 1 MEDIAN 1 MODE #N/A

BUCKETS: # of Channels % 0 posts 1 0.33 1 post 1 0.33 2 posts 1 0.33 Figure 38, Blog posts in Jan (FASHION/BEAUTY) PREPARED BY: Courtney Aubrecht

MEAN 45.67 MEDIAN 19.5 MODE #N/A

BUCKETS: # of Channels % 0-10 posts 2 0.33 11-20 posts 1 0.17 21-30 posts 1 0.17 31-40 posts 1 0.17 40+ posts 1 0.17 Figure 39, Blog posts in Jan (ONE PERSON VLOG) PREPARED BY: Courtney Aubrecht

MEAN 18.21 MEDIAN 0 MODE 0

BUCKETS: # of Channels % 0-10 posts 14 0.74 11-20 posts 1 0.05 21-30 posts 1 0.05 31-40 posts 1 0.05 41-50 posts 0 0.00 51-60 posts 0 0.00 61-70 posts 0 0.00 71+ posts 2 0.11 Figure 40, Number of G+ Posts in Jan (WITH G+ ACCOUNTS) PREPARED BY: Courtney Aubrecht

MEAN 12.2903225806452

MEDIAN 0

MODE 0

Buckets: # of Channels %

0-10 posts 22 0.71

11-20 posts 1 0.03

21-30 posts 1 0.03

31-40 posts 3 0.1

41-50 posts 3 0.1

51-60 posts 0 0 61-70 posts 0 0 71-80 posts 1 0.03

Figure 41, Number of G+ Posts in Jan (COMEDY) PREPARED BY: Courtney Aubrecht

MEAN 6.50 MEDIAN MODE 0

Number of BUCKETS: Channels % 1- 10 posts 10 0.56 11-20 posts 1 0.06 21-30 posts 0 0.00 31-40 posts 3 0.17 41-50 posts 3 0.17 51-60 posts 0 0.00 61-70 posts 0 0.00 71-80 posts 1 0.06 Figure 42, Number of G+ Posts in Jan (GAMING) PREPARED BY: Courtney Aubrecht

MEAN 0 MEDIAN 0 MODE 0

Buckets: # of channels % 0 posts 3 100 Figure 43

MEAN 0 MEDIAN 0 MODE 0

BUCKETS #channels % 0 posts 2 100 Figure 44, Number of G+ posts in Jan (ONE PERSON VLOG) PREPARED BY: Courtney Aubrecht

MEAN 14 MEDIAN 0.5 MODE 0

BUCKETS: #channels % 0-20 posts 7 0.7 21-40 posts 1 0.1 41-60 posts 2 0.2 Figure 45, How Many Tweets in Jan (COMEDY) PREPARED BY: Courtney Aubrecht

MEAN 142.52 MEDIAN 71 MODE 32

Buckets: #channels % 0-100 tweets 30 0.6 101-200 tweets 12 0.24 201-300 tweets 1 0.02 301-400 tweets 1 0.02 401-500 tweets 2 0.04 501-600 tweets 1 0.02 601-700 tweets 0 0 701-800 tweets 0 0 801+ tweets 2 0.04 Figure 46, How Many Tweets in Jan (GAMING) PREPARED BY: Courtney Aubrecht

MEAN 374.83 MEDIAN 165 MODE 90

BUCKETS: #channels % 0-100 tweets 11 0.48 101-200 tweets 1 0.04 201-300 tweets 5 0.22 301-400 tweets 0 0.00 401-500 tweets 1 0.04 501-600 tweets 1 0.04 601-700 tweets 1 0.04 701-800 tweets 0 0.00 800+ tweets 3 0.13 Figure 47, How Many Tweets in Jan (FASHION/BEAUTY) PREPARED BY: Courtney Aubrecht

MEAN 229.91 MEDIAN 114 MODE #N/A

BUCKETS: # Channels % 0-100 tweets 4 0.36 101-200 tweets 3 0.27 201-300 tweets 0 0.00 301-400 tweets 2 0.18 401-500 tweets 1 0.09 501-600 tweets 0 0.00 601-700 tweets 1 0.09 Figure 48, How many Tweets in Jan (ONE PERSON VLOG) PREPARED BY: Courtney Aubrecht

MEAN 207.71 MEDIAN 101 MODE 86

BUCKETS: #Channels % 0-100 tweets 21 0.47 101-200 tweets 9 0.20 201-300 tweets 5 0.11 301-400 tweets 3 0.07 401-500 tweets 4 0.09 501-600 tweets 0 0.00 601-700 tweets 2 0.04 701+ tweets 1 0.02 Figire 49, How Many Tweets in Jan (LESS THAN 5 VIDS IN JAN) PREPARED BY: Courtney Aubrecht

MEAN 110.155555555556 MEDIAN 62 MODE 32

Buckets: #channels % 0-100 tweets 29 0.64 101-200 tweets 12 0.27 201-300 tweets 0 0.00 301-400 tweets 2 0.04 401-500 tweets 1 0.02 501-600 tweets 0 0.00 601-700 tweets 0 0.00 701+ tweets 1 0.02 Figure 50, How many Tweets in Jan (MORE THAN 5 VIDS IN JAN) PREPARED BY: Courtney Aubrecht

MEAN 304.18 MEDIAN 109 MODE 90

Buckets: # of Channels % 0-100 tweets 23 0.45 101-200 tweets 7 0.14 201-300 tweets 7 0.14 301-400 tweets 2 0.04 401-500 tweets 3 0.06 501-600 tweets 2 0.04 601-700 tweets 2 0.04 701 + tweets 5 0.10 Figure 51, Video Length PREPARED BY: Adan Hernandez

Mean 388.573426573427 Median 259 Mode 205

Buckets 0 0 96 200 68 300 38 400 68 1000 16 Figure 52, Length of Intro PREPARED BY: Adan H

Mean 7.35593220338983 Median 5 Mode 3

Buckets # of Videos 0 0 10 94 20 16 30 6 40 1 1 Figure 53, First Word Heard at second # PREPARED BY: Adan H

Mean 9.80841121495327 b60 b273 Median 4 Mode 1

Buckets # of Videos 0 58

50 207 100 5 150 1 200 1 0 Figure 54, Length of Credits PREPARED BY: Adan H Mean 12.5897435897436 a225,a263 Median 14 Mode 15

Buckets # of videos 0 223 10 16 20 18 30 5 0 Figure 55, # of Words in Video description PREPARED BY: Adan H Mean 81.8671328671329 Median 56.5 Mode 26

Buckets 0 2 100 209 200 52 300 11 400 10 500 2 0 Figure 56, # of Links PREPARED BY: Adan H Mean 4.63986013986014 Median 4 Mode 4

Buckes 0 37 5 158 10 68 15 19 20 3 1 Figure 57, # of Links to Collaborators PREPARED BY: Adan H Mean 0.974820143884892 Median 0 Mode 0

Buckets 181 0 72 3 18 6 3 9 2 12 2 15 0

BUCKETS number of videos % <-- doubleclick here to see the zero to 3 181 65.11 0 181 formula 3 to 6 etc. #VALUE! 3 72 6 to 9 0.00 6 18 9 to 12 0.00 9 3 12 to 15 0.00 12 2 15 1 0 Figure 58, Video Length (ONLY Genre: Comedy) Adan H

Mean 240.935779816514 median 205 mode 247

Buckets 0 0 15 100 36 200 34 300 13 400 5 500 6 Figure 59 PREPARED BY: Adan Hernandez Mean 737.767441860465 Median 576 Mode 441

Buckets 0 0 6 200 10 400 6 600 4 800 10 1000 7 Figure 60, Video Length (ONLY Genre: Fashion/Beauty) PREPARED BY: Adan H

Median 464 Mode #N/A Mean 452.241379310345

Buckets 0 0 6 200 6 400 10 600 5 800 1 1000 1 Figure 61, Video Length (ONLY Genre: Vlog) PREPARED BY: Adan H

Mean 410.618421052632 Median 298.5 Mode 205

Buckets 0 0 14 200 35 400 15 600 5

800 3 1000 4 Figure 62, Video Length (ONLY Genre: News/Commentary) PREPARED BY: Adan H

Mean 539 Median 535 Mode #N/A

Bucket 0 0 1 200 2 400 6 600 3 800 1 Figure 63, Intro Length (ONLY Genre: Comedy) PREPARED BY: Adan H

Mean 5 Median 3.5 Mode 3

Seconds 0

0 34 5 4 10 3 15 0 20 0 25 1 30 0 Figure 64, Intro Length (ONLY Genre: Gaming ) Adan Hernandez

Mean 5.0952380952381 Median 5 Mode 6

Seconds 0 0 5 3 14 6 1 9 0 12 1 Figure 65, Intro Length (ONLY Genre: Fashion/Beauty) PREPARED BY: Adan H

Mean 12.5555555555556 Median 11 Mode 11

Buckets 0 0 3 5 0 10 2 15 3 20 1 Figure 66, Intro Length (ONLY Genre: Vlog) PREPARED BY: Adan Hernandez

Mean 12.4347826086957 Median 7 Mode 4

Seconds 0 0 13 10 5 20 3 30 1 40 1 Figure 67, Intro Length (ONLY Genre: News/Commentary) PREPARED BY: Adan H

Mean 12.8 Median 11 Mode 11

Buckets 0 0 1 5 0 10 2 15 2 20 0 Figure 68, Intro Length (ONLY videos longer than 259 seconds) PREPARED BY: Adan H

Median 5 Mean 8 Mode 6

Seconds 0 0 46 10 11

20 3 30 1 40 1 Figure 69, Intro Length (ONLY videos shorter than 259 seconds) PREPARED BY: Adan H

Mean 7.35593220338983 Mode 3 Median 5

Seconds 0 0 88 8 18 16 6 24 4 32 1 40 1 Figure 70, Number of links to collaborators in video description (ONLY Genre: Comedy) PREPARED BY: Adan H

Mean 1.2037037037037 Median 0 Mode 0

# of Links 60 0 24 2 17 4 6 6 1 8 0 Figure 71, Number of links to collaborators in video description (ONLY Genre: Gaming ) PREPARED BY: Adan H

Median 0 Mode 0 mean 0.511627906976744

Buckets 30 0 9 1 1 2 2 3 0 4 1 5 0 Figure 72, Number of links to collaborators in video description (ONLY Genre: Fashion/Beauty) PREPARED BY: Adan H

Median 0 Mode 0 Mean 1.20689655172414

# of Links 23 0 2 3 2 6 0 9 1 12 1 15 0 Figure 73, Number of links to collaborators in video description (ONLY Genre: Vlog) PREPARED BY: Adan Hernandez

Mean 0.657894736842105 Mode 0 Median 0

Buckets 0 51 3 22 6 2 9 1 12 0 0 Figure 74, Number of links to collaborators in video description (ONLY Genre: News/Commentary) PREPARED BY: Adan H

MEAN 2.38461538461538 MEDIAN 0 MODE 0

# of Links 7 0 2 3 2 6 1 9 1 12 0 Figure 75, Number of Words/Minute (ONLY Genre: Comedy) PREPARED BY: Your Name

Mean 144.144329896907 Median 144 Mode 132

Buckets 0 0 28 100 49 200 18 300 2 Figure 76, Number of Words/Minute (ONLY Genre: Gaming ) PREPARED BY: Adan H

Median 150 Mode 138 mean 162.707317073171

Buckets 0 0 8 100 22 200 10 300 0 400 0 500 1 Figure 77, Number of Words/Minute (ONLY Genre: Fashion/Beauty) PREPARED BY: Your Name

Mean 168 Median 174 Mode 204

Buckets 0 0 50 1 100 2 150 6 200 3 10 Figure 78, Number of Words/Minute (ONLY Genre: Vlog) PREPARED BY: Your Name

Median 162 Mode 132 Mean 168.478260869565

Buckets 0 0 2 75 29 150 27 225 9 300 2 Figure 79, Number of Words/Minute (ONLY Genre: News/Commentary) PREPARED BY: Adan H

Mean 145.75 Median 159 Mode 180

Words/Min 0 0 1 75 1 125 6 200 0 Figure 80, Number of Cuts/Minute (ONLY Genre: Comedy) PREPARED BY: Adan Hernandez

Mean 15.2685185185185 Median 14 Mode 1

Buckets 0 6 25 86 50 15 75 0 100 1 0 Figure 81, Number of Cuts/Minute (ONLY Genre: Gaming ) PREPARED BY: Adan H

Median 0 Mode 0 mean 3.3953488372093

Buckets 0 26 5 8 10 3 15 2 20 2 2 Figure 82, Number of Cuts/Minute (ONLY Genre: Fashion/Beauty) PREPARED BY: Your Name

MEAN 14.6896551724138 MEDIAN 12 MODE 12

Buckets 2 0 8 10 13 20 3 30 2 40 1 50 0 Figure 83, Number of Cuts/Minute (ONLY Genre: Vlog) PREPARED BY: Adan H

Mean 11.6842105263158 Mode 0 Median 10

Buckets 12 0 60 25 3 50 0 75 1 100 0 Figure 84, Number of Cuts/Minute (ONLY Genre: News/Commentary) PREPARED BY: Adan H

Median 12 Mode 4 Mean 13.1538461538462

Buckets 0 0 5 10 6 20 1 30 1 Figure 85, Number of words / minute - Melinda PREPARED BY: Melinda Heaney MEAN 153.903474903475 MEDIAN 150 MODE 132

BUCKETS # Words Decimal % 0-100 Words 58 0.223076923076923 22.3% 201-300 Words 139 0.534615384615385 53.5% 301-400 Words 56 0.215384615384615 21.5% 401-500 Words 5 0.019230769230769 1.9% 501-600 Words 0 0 0% 1 0.003846153846154 0.3% Figure 86, Number of cuts / minute - Melinda PREPARED BY: Melinda Heaney MEAN: 11.0524475524476 MEDIAN: 9 MODE: 0

BUCKETS # Channels Decimal % 0-20 Cuts 235 0.821678321678322 82.2% 21-40 Cuts 49 0.171328671328671 17.1% 41-60 Cuts 1 0.003496503496504 0.3% 61-80 Cuts 0 0 0% 81-100 Cuts 1 0.003496503496504 0.3%

Figure 87, Percentage of viewers who also commented on a video. PREPARED BY: MELINDA HEANEY MEAN 1.06101398601399 MEDIAN 0.825 MODE 0.66

BUCKETS No# of Comments Decimal % 1-2 Comments 259 0.905594405594406 90.6% 3-4 Comments 22 0.076923076923077 7.7% 5-6 Comments 2 0.006993006993007 0.7% 7-8 Comments 0 0 0% 9-10 Comments 2 0.006993006993007 0.7% 10-11 Comments 1 0.003496503496504 0.3%

Figure 88, Percentage of viewers who also liked a video. PREPARED BY: Melinda Heaney MEAN: 3.1960701754386 MEDIAN: 2.81 MODE: 2.21

BUCKETS 1-2 Liked 80 3-4 Liked 128 5-6 Liked 54 7-8 Liked 17 9-10 Liked 5 11-12 Liked 1

Figure 89, Number of channel subscribers. PREPARED BY: Melinda Heaney MEAN 1612884.16028 MEDIAN 1193689.5 MODE #N/A

BUCKETS: Channels Decimals % 0-1000 Subscribers 13 0.045296167247387 45.3% 1001-10000 Subscribers 0 0 0% 10001-100000 Subscribers 0 0 0% 100001-1000000 Subscribers 16 0.055749128919861 55.7% 1000001- 10000000 Subscribers 71 0.247386759581882 24.7% Figure 91, Number views / video - only topical content PREPARED BY: Melinda Heaney MEAN 1661063.42307692 MEDIAN 461679.5 MODE #N/A

BUCKETS Channels Decimal % 0-10000 0 0 0% 10001-100000 52 0.037735849056604 3.8% 100001-1000000 34 0.641509433962264 6.4% 1000001- 10000000 15 0.283018867924528 2.8% 10000001- 100000000 1 0.018867924528302 1.9% Figure 92, Number views / video - only NOT topical content PREPARED BY: Melinda Heaney MEAN 1226936.80909091 MEDIAN 426764.5 MODE #N/A

BUCKETS Channels Decimal % 0-1000 0 0 0% 1001-10000 0 0 0% 10001-100000 21 0.090128755364807 9% 100001-1000000 137 0.587982832618026 58.8% 1000001- 10000000 59 0.253218884120172 25.3% 10000001- 10000000 3 0.012875536480687 1.3% Figure 93, Percentage of Viewers who also commented on a video. (only videos where people were asked to comment) PREPARED BY: Melinda Heaney Mean: 9086.80487804878 Median: 5429 Mode: #N/A

SUM 372559 0.02439023080908

BUCKETS: Channels: Decimals: Percentage: 1000-5000 19 0.463414634146342 46.3% 5001-10000 11 0.268292682926829 26.8% 10001-15000 4 0.097560975609756 10% 15001-20000 5 0.121951219512195 12.2% 20001-25000 1 0.024390243902439 2.4% 25001+ 1 0.024390243902439 2.4% Figure 94, Percentage of Viewers who also commented on a video. (only videos where people were NOT asked to comment) PREPARED BY: Melinda Heaney Mean: 6483.88979591837 Median: 3165 Mode: 5770

SUM 1588553 0.00199237922814

AVERAGE 0.004081639076568 Figure 95, Percentage of Viewers who also commented on a video. (ONLY Genre: Comedy) PREPARED BY: Melinda Heaney Mean: 1935738.11009174 Median: 716808 Mode: #N/A sum 210995454

MEDIAN 0.003397267507005

AVERAGE 0.009174311926606

BUCKETS: Channels: Decimal: Percent: 25,000-100,000 8 0.072727272727273 7.3% 100,001-500,000 34 0.309090909090909 30.9% 500,001-1,000,000 18 0.163636363636364 16.4% 1,000,001- 25,000,000 26 0.236363636363636 23.6% 25,000,001- 50,000,000 24 0.218181818181818 21.8% Figure 96, Percentage of Viewers who also commented on a video. (ONLY Genre: Gaming ) PREPARED BY: Your Name Mean: 3282.79069767442 Median: 1956 sum median AVERAGE Mode: #N/A 141160 0.0138566166052710.023255813953488

BUCKETS: Channels: Decimal: Percent: 100-1000 4 0.093023255813954 9.3% 1001-2500 15 0.348837209302326 34.9% 2501-5000 9 0.209302325581395 20.9% 5001-10000 6 0.13953488372093 14% 10001-15000 1 0.023255813953488 2.3% 15001-20000 1 0.023255813953488 2.3% Figure 97, Percentage of Viewers who also commented on a video. (ONLY Genre: Fashion/Beauty) PREPARED BY: Melinda Heaney mean: 4119 median: 2323 mode: #N/A

SUM 119451

MEDIAN 0.019447304752576

AVERAGE 0.03448275862069

BUCKETS: CHANNELS: DECIMAL: PERCENTAGE: 1000-1500 3 0.103448275862069 10.3% 1501-2000 6 0.206896551724138 20.7% 2001-3000 9 0.310344827586207 31% 3001-5000 5 0.172413793103448 17.2% 5001-10000 3 0.103448275862069 10.3% 10000-20000 2 0.068965517241379 6.8% Figure 98, Percentage of Viewers who also commented on a video. (ONLY Genre: Vlog) PREPARED BY: MELINDA HEANEY MEAN: 8798.6447368421 MEDIAN: 3957 MODE: #N/A

SUM 668697

MEDIAN 0.005917478319777

AVERAGE 0.013157894736842

buckets: channels: decimal: percent: 100-1000 3 0.038961038961039 4% 1001-2000 12 0.155844155844156 15.6% 2001-3000 15 0.194805194805195 19.5% 3001-5000 14 0.181818181818182 18.2% 5001-10000 11 0.142857142857143 14.3% 10001-20000 12 0.155844155844156 15.6% 20001-83000 9 0.116883116883117 11.7% Figure 99, Percentage of Viewers who also commented on a video. (ONLY Genre: News/Commentary) PREPARED BY: Melinda Heaney mean: 9105.76923076923 median: 5827 mode: #N/A

SUM 118375

MEDIAN 0.049224920802534

AVERAGE

0.076923076923077

BUCKETS: CHANNELS: DECIMAL: PERCENTAGE: 100-1000 3 0.230769230769231 23.1% 1001-5000 2 0.153846153846154 15.4% 5001-10000 3 0.230769230769231 23.1% 10001-20000 3 0.230769230769231 23.1% 20001-50000 2 0.153846153846154 15.4% Figure 100, Percentage of Viewers who also commented on a video. (ONLY with more than 420000 views) PREPARED BY: MELINDA HEANEY MEAN 11164.6551724138 MEDIAN 7498 MODE 6442

SUM 1618875

MEDIAN 0.004631611458575

AVERAGE 0.006896551724138

BUCKETS: CHANNELS: DECIMAL: PERCENTAGE: 100-1000 2 0.013698630136986 1.4% 1000-3000 16 0.10958904109589 11% 3001-5000 24 0.164383561643836 16.4% 5001-7000 27 0.184931506849315 18.5% 7001-10000 16 0.10958904109589 11% 10001-20000 37 0.253424657534247 25.3% 20001-85000 22 0.150684931506849 15.1% Figure 101, Percentage of Viewers who also commented on a video. (ONLY with less than 420000 views) PREPARED BY: melinda heaney mean 198445.560283688 median 186096 mode #N/A

SUM 27980824

MEDIAN 0.00665084058997

AVERAGE 0.00709219858156

BUCKETS: CHANNELS: DECIMAL: PERCENTAGE: 10,000-100,000 26 0.184397163120567 18.4% 100,001-200,000 47 0.333333333333333 33.3% 200,001-300,000 40 0.283687943262411 28.4% 300,001-400,000 23 0.163120567375887 16.3% 400,001-420,000 3 0.021276595744681 2.1% Figure 102, Percentage of viewers who also liked a video. (only videos where people were asked to like) PREPARED BY: MELINDA HEANEY SUM 547320 MEDIAN 1.8108236497844 AVERAGE 3.33333333333333

MEAN 18244 MEDIAN 9911 MODE #N/A

buckets: channels: decimals: percentage: 4000-6000 3 0.096774193548387 9.7% 6001-8000 3 0.096774193548387 9.7% 8001-10000 6 0.193548387096774 19.4% 10001-20000 7 0.225806451612903 22.6% 20001-60000 3 0.096774193548387 9.7% 60001-23000 4 0.129032258064516 12.9% Figure 103, Percentage of viewers who also liked a video. (only videos where people were NOT asked to like) PREPARED BY: MELINDA HEANEY mean 25355.3003952569 median 12705 mode 1921

SUM 6414891 median 0.198054807166638 average 0.395256916996047

buckets channels decimal percentage 0-1000 3 0.011811023622047 1.2% 1001-5,000 50 0.196850393700787 19.7% 5,001-10,000 55 0.216535433070866 21.7% 10,001-50,000 109 0.429133858267717 42.9% 50,001-100,000 28 0.110236220472441 11% 100,000-200,000 9 0.035433070866142 3.5% Figure 104, Percentage of viewers who also liked a video. (ONLY Genre: Comedy) PREPARED BY: melinda heaney mean 32031.0934579439 sum 3427327 median 20660 median 0.602802125388094 mode #N/A average 0.934579439252336

buckets channels decimals percentage 0-10,000 33 0.305555555555556 30.6% 10,001-25,000 32 0.296296296296296 29.6% 25,001-50,000 18 0.16666666666666716/7% 50,001-100,000 19 0.175925925925926 17.6% 100,001-200,000 6 0.055555555555556 5.6% Figure 105, Percentage of viewers who also liked a video. (ONLY Genre: Gaming ) PREPARED BY: Your Name MEAN 10065 MEDIAN 6648.5 MODE #N/A

SUM 422730 median 1.57275329406477 average 2.38095238095238

BUCKETS CHANNELS DECIMAL PERCENTAGE 0-5000 14 0.325581395348837 32.6% 5001-10000 14 0.325581395348837 32.6% 10001-50000 13 0.302325581395349 30.2% 50001-100000 1 0.023255813953488 2.3% 100001-2000000 1 0.023255813953488 2.3% Figure 106, Percentage of viewers who also liked a video. (ONLY Genre: Fashion/Beauty) PREPARED BY: MELINDA HEANEY MEAN 15142.3214285714 MEDIAN 10449 SUM 423985 MODE #N/A MEDIAN 2.46447397903228 AVERAGE 3.57142857142857

buckets channels decimal percentage 5,000-7,500 3 0.103448275862069 10.3% 7501-10,000 9 0.310344827586207 31% 10,001-20,000 7 0.241379310344828 24.1% 30,000-22,000 3 0.103448275862069 10.3% Figure 107, Percentage of viewers who also liked a video.. (ONLY Genre: Vlog) PREPARED BY: MELINDA HEANEY MEAN 27128.3421052632 MEDIAN 11616 SUM 2061754 MODE #N/A MEDIAN 0.563403781440463 AVERAGE 1.31578947368421

BUCKETS CHANNELS DECIMAL PERCENT 0-5,000 8 0.105263157894737 10.5% 5,001-10,000 24 0.31578947368421 31.6% 10,001-50,000 32 0.421052631578947 42.1% 50,001-100,000 11 0.144736842105263 14.5% 100,000-500,000 1 0.013157894736842 1.3% Figure 108, Percentage of viewers who also liked a video. (ONLY Genre: News/Commentary) PREPARED BY: MELINDA HEANEY MEAN 26168.9230769231 SUM 340196 MEDIAN 7698 MEDIAN 2.26281320180131 MODE #N/A AVERAGE 7.69230769230769

BUCKETS CHANNELS DECIMALS PERCENT 0-5,000 4 0.307692307692308 30.8% 5,001-10,000 3 0.230769230769231 23.1% 10,001-50,000 2 0.153846153846154 15.4% 50,001-100,000 4 0.307692307692308 30.8% Figue 109, Percentage of viewers who also liked a video. (ONLY with more than 420000 views) PREPARED BY: MELINDA HEANEY MEAN 2392794.82068966 SUM 346955249 MEDIAN 1102059 MEDIAN 0.317637217818832 MODE #N/A AVERAGE 0.689655172413793

BUCKETS CHANNELS DECIMALS PERCENT 420,000-700,000 47 0.324137931034483 32.4% 700,001-1,000,000 17 0.117241379310345 11.7% 1,000,001- 5,000,000 68 0.468965517241379 47% 5,000,001- 10,000,000 9 0.062068965517241 6.2% 10,000,001- 44,000,000 4 0.027586206896552 2.8% Figure 110, Percentage of viewers who also liked a video. (ONLY with less than 420000 views) PREPARED BY: MELINDA HEANEY MEAN 7236.8273381295 SUM MEDIAN 6256 27980824 MODE 1921 MEDIAN 0.0223581692948 AVERAGE 0.02586352474155

BUCKETS CHANNELS DECIMAL PERCENTAGE 10,000-100,000 26 0.184397163120567 18.4% 100,001-200,000 47 0.333333333333333 33.3% 200,001-300,000 41 0.290780141843972 29.1% 300,001-400,000 23 0.163120567375887 16.3% 400,000-500,000 3 0.021276595744681 2.1% Figure 111, Number of views of a video PREPARED BY: MELINDA HEANEY MEAN 1310965.29020979 MEDIAN 428367.5 MODE #N/A

BUCKETS CHANNELS DECIMAL PERCENTAGE 10,000-100,000 26 0.090592334494774 9.1% 100,001-250,000 69 0.240418118466899 24% 250,001-500,000 62 0.21602787456446 21.6% 500,001-1,000,000 47 0.163763066202091 16.4% 1,000,001- 10,000,000 76 0.264808362369338 26.5% 10,000,001- 1,000,000,000 4 0.013937282229965 1.4% Figure 112, Number of views of a video (only topical videos) PREPARED BY: Your Name mean: 1763684.86792453 median: 463824 mode: #N/A

Buckets: Channels: Decimals: Percent: 50,000-100,000 2 0.037735849056604 3.8% 100,001-500,000 25 0.471698113207547 47.2% 500,001-1,000,000 8 0.150943396226415 15.1% 1,000,001- 20,000,000 7 0.132075471698113 13.2% 20,000,001- 40,000,000 11 0.207547169811321 20.8% Figure 113, Number of views of a video (only NOT topical videos) PREPARED BY: Melinda Heaney Mean: 1227070.45 Median: 380169.5 Mode: #N/A

Buckets: Channels: Decimals: Percent: 10,000-100,000 21 0.105 10.5% 100,001-1,000,000 130 0.65 65% 1,000,000- 10,000,000 46 0.23 23% 10,000,001- 100,000,000 3 0.015 1.5% Figure 115, Number of views of a video (only videos with more than 0 collaborators) PREPARED BY: MELINDA HEANEY MEAN 1268927.10309278 MEDIAN 550557 MODE #N/A

BUCKETS CHANNELS DECIMALS PERCENT 50,000-100,000 7 0.072164948453608 7.2% 100,001-500,000 38 0.391752577319588 39.2% 500,001-1,000,000 16 0.164948453608247 16.5% 1,000,001- 2,000,000 21 0.216494845360825 21.7% 2,000,001- 9,000,000 14 0.144329896907216 14.4%