WTF Is a Hashtag?!
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How to Find the Best Hashtags for Your Business Hashtags Are a Simple Way to Boost Your Traffic and Target Specific Online Communities
CHECKLIST How to find the best hashtags for your business Hashtags are a simple way to boost your traffic and target specific online communities. This checklist will show you everything you need to know— from the best research tools to tactics for each social media network. What is a hashtag? A hashtag is keyword or phrase (without spaces) that contains the # symbol. Marketers tend to use hashtags to either join a conversation around a particular topic (such as #veganhealthchat) or create a branded community (such as Herschel’s #WellTravelled). HOW TO FIND THE BEST HASHTAGS FOR YOUR BUSINESS 1 WAYS TO USE 3 HASHTAGS 1. Find a specific audience Need to reach lawyers interested in tech? Or music lovers chatting about their favorite stereo gear? Hashtags are a simple way to find and reach niche audiences. 2. Ride a trend From discovering soon-to-be viral videos to inspiring social movements, hashtags can quickly connect your brand to new customers. Use hashtags to discover trending cultural moments. 3. Track results It’s easy to monitor hashtags across multiple social channels. From live events to new brand campaigns, hashtags both boost engagement and simplify your reporting. HOW TO FIND THE BEST HASHTAGS FOR YOUR BUSINESS 2 HOW HASHTAGS WORK ON EACH SOCIAL NETWORK Twitter Hashtags are an essential way to categorize content on Twitter. Users will often follow and discover new brands via hashtags. Try to limit to two or three. Instagram Hashtags are used to build communities and help users find topics they care about. For example, the popular NYC designer Jessica Walsh hosts a weekly Q&A session tagged #jessicasamamondays. -
Stephanie Vie and Danny Seigler • Define Social Media & Online Community
Stephanie Vie and Danny Seigler • Define social media & online community • Discuss benefits & considerations • Demonstrate how social media creates community within and outside of the classroom • Information & communication technologies (Nam, 2012) • Empowers students (Bryer & Seigler, 2012) • Users connect to information, join online public communities, and collaborate to create solutions and deliverables (Lee & Kwak, 2012) Community: • People who have a shared connection • Neighborhood, UCF, Political Party Considerations: • People who have a shared connection online Why Twitter for your classroom? • Students can share resources with you and classmates • Twitter feeds = repositories of historical information • Quick to set up, easy to use, free • Benefits of closed access or wide audience (or both) “Twitter icon 9a” by marek.sotak (Flickr Creative Commons) • Both you and students sign up at https://twitter.com/signup • Choose username (Twitter “handle”) wisely • You can change it later though • This is your @username: @digirhet is me • Create a bio (up to 160 characters) • Write your first tweet! • Up to 140 characters • Can include photos, links, videos “Emerging Media - Twitter Bird” by mkhmarketing (Flickr Creative Commons) • Followers see all of your tweets • When you follow someone, you’re subscribing to their Twitter feed—you’ll see their tweets • Followers can send you direct messages • Privacy settings affect followers: • “Only followers you approve can see your protected Tweets and your Tweets will not appear in search engines” -
What Is Gab? a Bastion of Free Speech Or an Alt-Right Echo Chamber?
What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber? Savvas Zannettou Barry Bradlyn Emiliano De Cristofaro Cyprus University of Technology Princeton Center for Theoretical Science University College London [email protected] [email protected] [email protected] Haewoon Kwak Michael Sirivianos Gianluca Stringhini Qatar Computing Research Institute Cyprus University of Technology University College London & Hamad Bin Khalifa University [email protected] [email protected] [email protected] Jeremy Blackburn University of Alabama at Birmingham [email protected] ABSTRACT ACM Reference Format: Over the past few years, a number of new “fringe” communities, Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Haewoon Kwak, like 4chan or certain subreddits, have gained traction on the Web Michael Sirivianos, Gianluca Stringhini, and Jeremy Blackburn. 2018. What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?. In WWW at a rapid pace. However, more often than not, little is known about ’18 Companion: The 2018 Web Conference Companion, April 23–27, 2018, Lyon, how they evolve or what kind of activities they attract, despite France. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3184558. recent research has shown that they influence how false informa- 3191531 tion reaches mainstream communities. This motivates the need to monitor these communities and analyze their impact on the Web’s information ecosystem. 1 INTRODUCTION In August 2016, a new social network called Gab was created The Web’s information ecosystem is composed of multiple com- as an alternative to Twitter. -
Building Relatedness Through Hashtags: Social
BUILDING RELATEDNESS THROUGH HASHTAGS: SOCIAL INFLUENCE AND MOTIVATION WITHIN SOCIAL MEDIA-BASED ONLINE DISCUSSION FORUMS by LUCAS JOHN JENSEN (Under the Direction of Lloyd Rieber) ABSTRACT With the rise of online education, instructors are searching for ways to motivate students to engage in meaningful discussions with one another online and build a sense of community in the digital classroom. This study explores how student motivation is affected when social media tools are used as a substitute for traditional online discussion forums hosted in Learning Management Systems. The main research question for this study was as follows: What factors influence student motivation in a hashtag-based discussion forum? To investigate this question, the following subquestions guided the research: a. How do participants engage in the hashtag discussion assignment? b. What motivational and social influence factors affect participants' activity when they post to the Twitter hashtag? c. How do previous experience with and attitudes toward social media and online discussion forums affect participant motivation in the hashtag-based discussion forum? Drawing on the motivational theories of Self-Determination Theory and Social Influence Theory, as well as the concept of Personal Learning Environments, it was expected that online learners would be more motivated to participate in online discussions if they felt a sense of autonomy over the discussion, and if the discussion took place in an environment similar to the social media environment they experience in their personal lives. Participants in the course were undergraduate students in an educational technology course at a large Southeastern public university. Surveys were administered at the beginning and end of the semester to determine the participants’ patterns of technology and social media usage, attitudes toward social media and online discussion forums, and to determine motivation levels and social influence factors. -
The Dynamic Features of Delicious, Flickr and Youtub
The Dynamic Features of Delicious, Flickr and YouTub Nan Lin1, Daifeng Li2, Ying Ding3, Bing He3, Zheng Qin2 , Jie Tang4, Juanzi Li4,Tianxi Dong5 1School of International Business Administration, 3School of Library and Information Science Shanghai University of Finance and Economics Indiana University, Bloomington, IN, USA Shanghai, China {dingying, binghe} @Indiana.edu [email protected] 4Department of Computer Science and Technology, 2 School of Information Management and Engineering, Tsinghua University, Beijing, China, Shanghai University of Finance and Economics [email protected] Shanghai, China 5Rawls College of Business, [email protected] Texas Tech University, TX, USA. [email protected] [email protected] Abstract – This article investigates the dynamic features of social tagging vocabularies in Delicious, Flickr and YouTube from 2003 to 2008. Three algorithms are designed to study the macro and micro tag growth as well as dynamics of taggers’ activities respectively. Moreover, we propose a Tagger Tag Resource LDA (TTR-LDA) model to explore the evolution of topics emerging from those social vocabularies. Our results show that (1) at the macro level, tag growth in all the three tagging systems obeys power-law distribution with exponents lower than one; at the micro level, the tag growth of popular resources in all three tagging systems follows a similar power-law distribution; (2) the exponents of tag growth vary in different evolving stages of resources; (3) the growth of number of taggers associated with different popular resources presents a feature of convergence over time; (4) the active level of taggers has a positive correlation with the macro-tag growth of different tagging systems; and (5) some topics evolve into several sub-topics over time, while others experience relatively stable stages in which their contents do not change much, and certain groups of taggers continue their interests in them. -
Google+ Social Media Marketing Post-Campaign Report Campaign
Google+ Social Media Marketing Post-Campaign Report Campaign overview: The Google+ campaign for Kossine spanned over a period of 5 weeks from 12th April to 16th May. The key objective of the campaign was to establish Kossine’s social media presence, engage its current clientele online and attract new customers. We planned the posts in the beginning of each week and posted the content within the most active time range of 18:00 to 00:00. The Competition and Quiz questions were first prepared by us then were validated by Kossine’s professors. Constant meetings were held with the officials of Kossine to finalize Hangout dates and topics. We had numerous brainstorming sessions to formulate our strategies for the week and subsequently prepare posts. Course details posts were meticulously documented and were posted after permission from Kossine’s officials. Week 1: Our campaign head-started with company’s description post and a video highlighting Kossine’s rebranding. The profile photo and company details were updated. A Quiz question was posted everyday with the hashtag #KossQuiz. TechNewz Community was created wherein latest technical news were posted. Jokes with reference to programming were posted with the hashtag #JokeOfTheDay. After crossing 50 followers, we came up with our first Hangout which featured the founder of Kossine, who answered career counselling and company related questions. As slated, a practice competition was held acquainting the participants with the concept of a virtual treasure hunt. Subsequently, a Poll was conducted to judge user’s reaction. Week 2: This week saw an addition of quotes to posts with the hashtag #QuoteOfTheDay and some intriguing facts with the hashtag #JustAnotherFact. -
COVID-19 Twitter Monitor
COVID-19 Twitter Monitor: Aggregating and visualizing COVID-19 related trends in social media Joseph Cornelius∗ Tilia Ellendorff yz Lenz Furreryz Fabio Rinaldi∗yz ∗Dalle Molle Institute for Artificial Intelligence Research (IDSIA) ySwiss Institute of Bioinformatics zUniversity of Zurich, Department of Computational Linguistics fjoseph.cornelius,[email protected] ftilia.ellendorff, [email protected] Abstract Social media platforms offer extensive information about the development of the COVID-19 pandemic and the current state of public health. In recent years, the Natural Language Processing community has developed a variety of methods to extract health-related information from posts on social media platforms. In order for these techniques to be used by a broad public, they must be aggregated and presented in a user-friendly way. We have aggregated ten methods to analyze tweets related to the COVID-19 pandemic, and present interactive visualizations of the results on our online platform, the COVID-19 Twitter Monitor. In the current version of our platform, we offer distinct methods for the inspection of the dataset, at different levels: corpus- wide, single post, and spans within each post. Besides, we allow the combination of different methods to enable a more selective acquisition of knowledge. Through the visual and interactive combination of various methods, interconnections in the different outputs can be revealed. 1 Introduction Today, social media platforms are important sources of information, with a usage rate of over 70% for adults in the USA and a continuous increase in popularity.1 Platforms like Twitter are characterized by their thematic diversity and realtime coverage of worldwide events. -
MFC-J825dw Color Inkjet Multi-Function Center ®
MFC-J825dw Color Inkjet Multi-Function Center ® Print • Copy • Scan • Fax BRO4983-MFCj825dwCatPg-082211 Compact Inkjet All-in-One with 3.3" Web Connect TouchScreen Interface Print from your Brother™ MFC-J825dw Compact Inkjet All-in-One with 3.3" mobile device. Visit www.brother.com Web Connect TouchScreen Interface for more details The MFC-J825dw is a great addition to any small or home office. The Web Connect TouchScreen interface allows for easy access to your FACEBOOK™, PICASA Web Albums™, FLICKR®, GOOGLE DOCS™ and Evernote® accounts. You can also print directly on to your printable CD/DVDs/Blu-ray™ discs without hassle. Technical Specifications Key Features at a Glance: • Easy-to-setup wireless (802.11b/g/n) or wired Ethernet networking MFC-J825dw • 3.3" TouchScreen color LCD display for interactive and Printing Method Color Inkjet easy-to-use menu navigation Display Type 3.3" TouchScreen Color LCD Display • Create two-sided documents and save paper with duplex printing Web Connect Interface† Yes General • Unattended fax, copy or scan using up to 20-page ADF Max. Document Glass Size 8.5" x 11.7" Auto Document Feeder (max. capacity / paper size) up to 20 sheets / legal • Fast print speeds up to 35ppm black, 27ppm color (fast mode) CD / DVD / Blu-ray Disc™ Printing Yes and 12ppm black, 10ppm color (ISO standard)* ® ™ ® Max. Print Speed black / color • Access your FACEBOOK , PICASA Web Albums , FLICKR 35 / 27ppm, 12 / 10ppm (Fast Mode, ISO Standard)* ™ ® and GOOGLE DOCS and Evernote accounts via the ▼ Max. Print Resolution (dpi) 6000 x 1200 † Web Connect TouchScreen Interface Print Auto Duplex Printing Yes (up to 8.5" x 11") ™ Borderless Printing Yes • Print directly on to your printable DVDs, CDs and Blu-ray discs ™ Ink Save Mode± Yes • Brother iPrint&Scan free app download for wireless printing ™ ® Standalone Fax Capabilities Color & B/W from and scanning to your Apple, Android or Windows Fax Compatibility ITU-T Group Super G3 Phone 7 mobile device+ Max. -
Separating Self-Expression and Visual Content in Hashtag Supervision
Separating Self-Expression and Visual Content in Hashtag Supervision Andreas Veit∗ Maximilian Nickel Serge Belongie Laurens van der Maaten Cornell University Facebook AI Research Cornell University Facebook AI Research [email protected] [email protected] [email protected] [email protected] Abstract previous hashtags by user: user A #livemusic #live #music #band #switzerland The variety, abundance, and structured nature of hash- #rock tags make them an interesting data source for training vi- sion models. For instance, hashtags have the potential to significantly reduce the problem of manual supervision and annotation when learning vision models for a large number of concepts. However, a key challenge when learning from hashtags is that they are inherently subjective because they are provided by users as a form of self-expression. As a previous hashtags by user: consequence, hashtags may have synonyms (different hash- user B #arizona #sport #climbing #bouldering #az tags referring to the same visual content) and may be poly- #rock semous (the same hashtag referring to different visual con- tent). These challenges limit the effectiveness of approaches that simply treat hashtags as image-label pairs. This paper presents an approach that extends upon modeling simple image-label pairs with a joint model of images, hashtags, and users. We demonstrate the efficacy of such approaches in image tagging and retrieval experiments, and show how the joint model can be used to perform user-conditional re- Figure 1. Image-retrieval results obtained using our user-specific trieval and tagging. hashtag model. The box above the query shows hashtags fre- quently used by the user in the past. -
Think Br Ie F Hashtag Standards for Emergencies
HASHTAG STANDARDS FOR EMERGENCIES OCHA POLICY AND STUDIES SERIES THINK BRIEF October 2014 | 012 This publication was developed by OCHA Field Information Services with the support of the OCHA Policy Development and Studies Branch (PDSB). This paper was written by Roxanne Moore and Andrej Verity. This publication was made possible with advice and support from Patrick Meier and Sarah Vieweg, from Qatar Computing Research Institute (QCRI). For more information, please contact: Policy Development and Studies Branch United Nations Office for the Coordination of Humanitarian Affairs (OCHA) E-mail: [email protected] These short think pieces are non-papers that present relatively new ideas that require testing and validation. The objective of the Think Brief is to generate feedback, views and advice. The Think Briefs do not necessarily represent the official views of OCHA. They are available on the OCHA website (www.unocha.org) and on ReliefWeb (www.reliefweb.org) under “Policy and Issues”. © OCHA, PDSB 2014 Background As part of the ongoing close collaboration between OCHA and QCRI, regular conversations on how to improve crisis computing have taken place over the past few years. In May 2014, members of OCHA and QCRI met in Doha to discuss our ongoing efforts and recognized that it is clear that innovations in policy were equally important as innovations in humanitarian technology. Standardization of social media (and data) hashtags and the encouragement of enabling GPS during crisis were recognized as a policy piece that could have major impact on integrating big-crisis data into emergency response going forward. This think brief is the culmination of the research. -
What to Do If Phones Fill up with Photos 13 May 2015, Byanick Jesdanun
Review: What to do if phones fill up with photos 13 May 2015, byAnick Jesdanun With Flickr's app for iPhones, iPads and Android devices, old and new images alike are automatically copied to your online account, so you can delete the original files from your phone. You'll still be able to edit and share images through Flickr's app, and you can retrieve the originals anytime. Meanwhile, Flickr's software for Mac and Windows computers will continually scan and upload images, including ones you add later. Regardless of the source, all photos and videos are viewable in one collection through a Web browser or Flickr's mobile app. The newest images are on In this Dec. 7 2014 file photo, Houston Texans fan Erick top, but you can use Flickr's smart sorting tools Salgado takes a photo with his cell phone of his brother under its "Magic View." Software analyzes and Andres Salgado, left, and his cousin Victor Ticas, right, categorizes images based on what's in them, such before the start of an NFL football game against the as food and flowers. A search tool lets you filter by Jacksonville Jaguars, in Jacksonville, Fla. Yahoo's Flickr such attributes as colors in the picture and the and Apple's iCloud Photo Library will automatically image's orientation. transfer photos and videos to your online account, so you get a backup and more space on your device. (AP Photo/Stephen B. Morton, File) To free up space, you need to delete files from your phone after getting them to Flickr, which means keeping track of which ones have already been transferred. -
Social Media Instagram Info CHAPMAN UNIVERSITY STRATEGIC MARKETING & COMMUNICATIONS Use Your Page
social media Instagram Info CHAPMAN UNIVERSITY STRATEGIC MARKETING & COMMUNICATIONS Use Your Page. GET TO KNOW INSTAGRAM HELP CENTER Post Chapman University photos. Instagram is a free smart phone application (owned by Facebook) where brands can post photos and add captions. Post photos to your Instagram account and share those photos to Facebook, Twitter, Tumblr, Flickr, and other photo feeds. Make photos fun and interesting with filters and editing features included within the app. Use photos and visual to assist your ‘story.’ Select a profile image that best represents INSTAGRAM HELP CENTER your department or college. Types of Functions. 1. Posting photos: Choose an existing photo from your phone and upload it to Instagram or take a photo from within the app itself. 2. Filters: Select filters to make photos interesting. Filters will adjust lighting and boards among others. INSTAGRAM BASICS 3. Captions: Add a caption to your phone. Captions cam include hashtags like Twitter. 4. Share: Users can share their photos from Instagram to other social media platforms like Facebook, Twitter, Tumblr, Flickr, Foursquare, and Email. What Makes It Different? Users can Like and Comment, add hashtags, and tag other users similiarly to Pinterest and Twitter; however, Instagram’s photo-specific nature is universal across most social INSTAGRAM FOR BUSINESSES: media platforms. Users may share the photo to the Instagram community exclusively GETTING STARTED & EXAMPLES or share them to their other social networking platforms. Naming and Disclaimers. Your Instagram Business Account is an external-facing representation of Chapman University.Your page’s name should include Chapman University for branding and identification purposes.