DOCSLIB.ORG

Popsters Research 2020 English

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Popsters Research 2020 English Global Report Social Media Users Activity The research of users activity for various types of content in Social Media for 2020 Relative Activity by Text Length in Posts 29-42 Relative Activity by Attachments in Posts 62-73 Methodology I 30 Methodology I 63 Methodology II 31 Methodology II 64 Methodology III 32 Methodology III 65 Facebook 33 Facebook 66 Instagram 34 Instagram 67 Twitter 35 Twitter 68 YouTube 36 Tumblr 69 Table of contents Tumblr 37 VK 70 VK 38 Ok 71 Ok 39 Telegram 72 Telegram 40 Average 73 Relative Activity by Days of Week 4-16 Coub 41 Average 42 Methodology I 5 Average Engagement Rate of Pages 74-84 Methodology II 6 by Count of Followers Facebook 7 Relative Activity by Text Length in Posts by Days of 43-52 Instagram 8 Week Methodology I 75 Twitter 9 Methodology II 76 YouTube 10 Facebook 44 Methodology III 77 Tumblr 11 Instagram 45 Facebook 78 TikTok 12 Twitter 46 Instagram 79 VK 13 YouTube 47 Twitter 80 Ok 14 Tumblr 48 YouTube 81 Telegram 15 VK 49 TikTok 82 Average 16 Ok 50 VK 83 Telegram 51 Ok 84 Average 52 Relative Activity by Hours of Day 17-28 Methodology I 18 Relative Activity by Text Length in Posts by Hours 53-61 Methodology II 19 of Day Facebook 20 Instagram 21 Facebook 54 Twitter 22 Instagram 55 YouTube 23 Twitter 56 TikTok 24 YouTube 57 VK 25 VK 58 Ok 26 Ok 59 Telegram 27 Telegram 60 Average 28 Average 61 Data source The research is based on 537 million social media posts by 1 106 thousands different pages were analyzed by Popsters users in 10 social networks for 2020: Instagram, Facebook, Ok, VK, Twitter, Telegram, Coub, Tumblr, YouTube and TikTok. Social Media Users Activity Global Report by Popsters.com 2020 3 Relative Activity by Days of Week Relative Activity by Days of Week Methodology I Average activity of published Total of activity (reactions, shares,comments) at specific day of week posts at specific day of week Count of posts such type Percent of activity on average Average activity of published posts at specific day of week published posts at specific x100% Total of average activities of posts by alldays of week day of week Social Media Users Activity Global Report by Popsters.com 2020 5 Relative Activity by Days of Week Methodology II Aggregation of data by different Total data by all analyzes at specific time pages Count of nonzero values Equalization of percent values Average value for each day of week accounting nonzero values Total of all average values Social Media Users Activity Global Report by Popsters.com 2020 6 RELATIVE ACTIVITY BY DAYS OF WEEK Facebook Tuesday activity 20% is 41% more 16.1 than on Sunday 15% 15.9 15.1 15.2 14.3 10% 11.4 11.9 5% Tuesday Sunday 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 7 RELATIVE ACTIVITY BY DAYS OF WEEK Instagram Monday activity 20% is 19% more than on Sunday 15.1 15% 14,8 14.9 14.7 14.9 12.9 10% 12.7 5% Monday Sunday 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 8 RELATIVE ACTIVITY BY DAYS OF WEEK Twitter Monday, Tuesday, 20% Wednesday and Friday activity is 23% more than on Saturday 15.1 15.1 15.1 15.1 15% 15.0 10% 12.4 12.3 5% Mon, Tue, Wed, Fri Wed, Tue, Mon, Sunday 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 9 RELATIVE ACTIVITY BY DAYS OF WEEK YouTube Thursday and 20% Friday activity is 31% more than 15.6 15.6 on Sunday 15% 14.6 15.1 15.0 10% 11.9 12.3 5% Thursday, Friday Thursday, Sunday 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 10 RELATIVE ACTIVITY BY DAYS OF WEEK Tumblr Saturday activity 25% is 123% more 22.2 than on Wednesday 20% 15% 17.2 14.2 13.2 10% 12.1 11.2 10.0 5% Saturday Wednesday 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 11 RELATIVE ACTIVITY BY DAYS OF WEEK TikTok Monday activity 20% is 21% more than on Sunday 15.3 15% 14.6 14.7 15.0 14.7 13.3 12.6 10% 5% Monday Sunday 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 12 RELATIVE ACTIVITY BY DAYS OF WEEK VK Monday and 20% Wednesday activity is 11% more than on Saturday & Sunday 14.8 14.8 15% 14.6 14.6 14.7 13.3 13.3 10% 5% Monday, Wednesday Monday, Sunday Saturday, 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 13 RELATIVE ACTIVITY BY DAYS OF WEEK Ok Monday and 20% Tuesday activity is 25% more 15.2 15.2 than on Sunday 15% 15.0 15.0 15.0 10% 12.1 12.5 5% Monday, Tuesday Monday, Sunday 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 14 RELATIVE ACTIVITY BY DAYS OF WEEK Telegram Thursday activity 20% is 18% more than on Saturday 15.2 and Sunday 15% 14.6 14.9 14.7 14.7 12.9 10% 12.9 5% Thursdat Sunday Saturday, 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 15 RELATIVE ACTIVITY BY DAYS OF WEEK Average 20% 15.2 15% 14.8 14.8 14.4 14.6 13.7 10% 12.4 5% 0% Sun Mon Tue Wed Thu Fri Sat Social Media Users Activity Global Report by Popsters.com 2020 16 Relative Activity by Hours of Day Relative Activity by Hours of Day Methodology I Average activity of published Total of activity (reactions, shares, comments) at specific hour of day posts at specific hour of day Count of post such type Percent of activity on average Average activity of published posts at specific hour of day x100% published posts at hour of day Total of average activities of posts by all hours of day Social Media Users Activity Global Report by Popsters.com 2020 18 Relative Activity by Hours of Day Methodology II Aggregation of data by different Total data by all analyzes at specific time pages Count of nonzero values Equalization of percent values Average value for each hour of day accounting nonzero values Total of all average values Social Media Users Activity Global Report by Popsters.com 2020 19 RELATIVE ACTIVITY BY HOURS OF DAY Facebook 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 1.9 1.3 0.9 0.9 0.9 1.1 1.8 2.6 4.6 5.3 6.1 6.6 6.7 6.1 6.4 6.3 6.5 6.4 6.4 6.6 5.0 4.1 3.2 2.4 Activity at 12:00 is 687% more than at 3:00 7% 6% 5% 4% 3% 2% 1% 12:00 3:00 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Social Media Users Activity Global Report by Popsters.com 2020 20 RELATIVE ACTIVITY BY HOURS OF DAY Instagram 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 2.1 1.5 1.2 1.0 1.1 1.2 1.6 2.4 3.4 4.7 5.7 6.3 6.7 6.4 6.4 6.5 6.5 6.7 6.6 6.0 5.3 4.4 3.5 2.7 Activity at 17:00 is 544% more than at 3:00 7% 6% 5% 4% 3% 2% 1% 17:00 3:00 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Social Media Users Activity Global Report by Popsters.com 2020 21 RELATIVE ACTIVITY BY HOURS OF DAY Twitter 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 3.4 2.6 2.1 1.7 1.6 1.6 2.1 2.6 3.7 5.0 5.5 5.8 5.9 5.8 5.9 5.7 5.6 5.8 5.5 4.9 4.8 4.3 4.0 3.9 Activity at 12:00 is 282% more than at 4:00-5:00 7% 6% 5% 4% 3% 2% 1% 12:00 4:00 - 5:00 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Social Media Users Activity Global Report by Popsters.com 2020 22 RELATIVE ACTIVITY BY HOURS OF DAY YouTube 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 2.5 2.1 1.8 1.8 1.9 2.3 2.8 3.6 4.4 5.5 5.7 5.7 5.8 6.0 6.4 6.2 6.0 5.6 5.3 4.7 4.3 3.8 3.2 2.8 Activity at 14:00 is 265% more than at 2:00-3:00 7% 6% 5% 4% 3% 2% 1% 14:00 2:00 - 3:00 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Social Media Users Activity Global Report by Popsters.com 2020 23 RELATIVE ACTIVITY BY HOURS OF DAY TikTok 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 2.8 2.2 1.7 1.4 1.2 1.2 1.3 1.6 2.0 2.8 3.9 5.9 5.8 5.6 6.1 6.6 6.4 7.0 7.0 8.6 5.6 5.3 4.1 4.0 Activity at 19:00 is 627% more than at 4:00-5:00 9% 8% 7% 6% 5% 4% 3% 2% 1% 19:00 4:00 - 5:00 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Social Media Users Activity Global Report by Popsters.com 2020 24 RELATIVE ACTIVITY BY HOURS OF DAY VK 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 3.1 2.1 1.5 1.3 1.2 1.4 2.0 3.2 4.3 5.3 6.0 6.2 6.3 6.0 6.0 5.8 5.8 5.8 5.7 5.3 4.9 4.3 3.7 3.0 Activity at 12:00 is 436% more than at 4:00 7% 6% 5% 4% 3% 2% 1% 12:00 4:00 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Social Media Users Activity Global Report by Popsters.com 2020 25 RELATIVE ACTIVITY BY HOURS OF DAY Ok 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 1.4 0.9 0.8 0.8 0.8 0.9 1.5 1.8 4.3 5.1 6.4 6.7 7.5 6.5 6.8 6.8 7.0 6.9 7.6 5.9 5.0 3.7 3.0 2.1 Activity at 18:00 is 903% more than at 2:00 - 4:00 8% 7% 6% 5% 4% 3% 2% 1% 18:00 2:00 - 4:00 0% 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Social Media Users Activity Global Report by Popsters.com 2020 26 RELATIVE ACTIVITY BY HOURS OF DAY Telegram 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 2,7 2,0 1,4 1,0 1,0 0,9 1,3 2,0 3,3 4,3 5,3 6,0 6,5 6,3 6,2 5,9 6,2 6,4 6,7 6,1 5,5
Load more

Recommended publications
  • COVID-19: How Hateful Extremists Are Exploiting the Pandemic
    COVID-19 How hateful extremists are exploiting the pandemic July 2020 Contents 3 Introduction 5 Summary 6 Findings and recommendations 7 Beliefs and attitudes 12 Behaviours and activities 14 Harms 16 Conclusion and recommendations Commission for Countering Extremism Introduction that COVID-19 is punishment on China for their treatment of Uighurs Muslims.3 Other conspiracy theories suggest the virus is part of a Jewish plot4 or that 5G is to blame.5 The latter has led to attacks on 5G masts and telecoms engineers.6 We are seeing many of these same narratives reoccur across a wide range of different ideologies. Fake news about minority communities has circulated on social media in an attempt to whip up hatred. These include false claims that mosques have remained open during 7 Since the outbreak of the coronavirus (COVID-19) lockdown. Evidence has also shown that pandemic, the Commission for Countering ‘Far Right politicians and news agencies [...] Extremism has heard increasing reports of capitalis[ed] on the virus to push forward their 8 extremists exploiting the crisis to sow division anti-immigrant and populist message’. Content and undermine the social fabric of our country. such as this normalises Far Right attitudes and helps to reinforce intolerant and hateful views We have heard reports of British Far Right towards ethnic, racial or religious communities. activists and Neo-Nazi groups promoting anti-minority narratives by encouraging users Practitioners have told us how some Islamist to deliberately infect groups, including Jewish activists may be exploiting legitimate concerns communities1 and of Islamists propagating regarding securitisation to deliberately drive a anti-democratic and anti-Western narratives, wedge between communities and the British 9 claiming that COVID-19 is divine punishment state.
    [Show full text]
  • Event Identification and Analysis on Twitter Qiming DIAO Singapore Management University, [email protected]
    Singapore Management University Institutional Knowledge at Singapore Management University Dissertations and Theses Collection (Open Access) Dissertations and Theses 8-2015 Event identification and analysis on Twitter Qiming DIAO Singapore Management University, [email protected] Follow this and additional works at: https://ink.library.smu.edu.sg/etd_coll Part of the Databases and Information Systems Commons, and the Social Media Commons Citation DIAO, Qiming. Event identification and analysis on Twitter. (2015). 1-90. Dissertations and Theses Collection (Open Access). Available at: https://ink.library.smu.edu.sg/etd_coll/126 This PhD Dissertation is brought to you for free and open access by the Dissertations and Theses at Institutional Knowledge at Singapore Management University. It has been accepted for inclusion in Dissertations and Theses Collection (Open Access) by an authorized administrator of Institutional Knowledge at Singapore Management University. For more information, please email [email protected]. Event Identification and Analysis on Twitter by Qiming DIAO Submitted to School of Information Systems in partial fulfillment of the requirements for the Degree of Doctor of Philosophy in Information Systems Dissertation Committee: Jing JIANG (Supervisor / Chair) Assistant Professor of Information Systems Singapore Management University Hady W. LAUW Assistant Professor of Information Systems Singapore Management University Ee-Peng LIM Professor of Information Systems Singapore Management University Wee Sun LEE Associate Professor of Computer Science National University of Singapore Singapore Management University 2015 Copyright (2015) Qiming DIAO Event Identification and Analysis on Twitter Qiming DIAO Abstract With the rapid growth of social media, Twitter has become one of the most widely adopted platforms for people to post short and instant messages.
    [Show full text]
  • Why Are Some Websites Researched More Than Others? a Review of Research Into the Global Top Twenty Mike Thelwall
    Why are some websites researched more than others? A review of research into the global top twenty Mike Thelwall How to cite this article: Thelwall, Mike (2020). “Why are some websites researched more than others? A review of research into the global top twenty”. El profesional de la información, v. 29, n. 1, e290101. https://doi.org/10.3145/epi.2020.ene.01 Manuscript received on 28th September 2019 Accepted on 15th October 2019 Mike Thelwall * https://orcid.org/0000-0001-6065-205X University of Wolverhampton, Statistical Cybermetrics Research Group Wulfruna Street Wolverhampton WV1 1LY, UK [email protected] Abstract The web is central to the work and social lives of a substantial fraction of the world’s population, but the role of popular websites may not always be subject to academic scrutiny. This is a concern if social scientists are unable to understand an aspect of users’ daily lives because one or more major websites have been ignored. To test whether popular websites may be ignored in academia, this article assesses the volume and citation impact of research mentioning any of twenty major websites. The results are consistent with the user geographic base affecting research interest and citation impact. In addition, site affordances that are useful for research also influence academic interest. Because of the latter factor, however, it is not possible to estimate the extent of academic knowledge about a site from the number of publications that mention it. Nevertheless, the virtual absence of international research about some globally important Chinese and Russian websites is a serious limitation for those seeking to understand reasons for their web success, the markets they serve or the users that spend time on them.
    [Show full text]
  • How Do Strong Social Ties Shape Youth Migration Trajectories (Using Data from the Russian On-Line Social Network
    A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Zamyatina, Nadezhda; Yashunsky, Alexey Conference Paper How do strong social ties shape youth migration trajectories (using data from the Russian on-line social network www.vk.com) 53rd Congress of the European Regional Science Association: "Regional Integration: Europe, the Mediterranean and the World Economy", 27-31 August 2013, Palermo, Italy Provided in Cooperation with: European Regional Science Association (ERSA) Suggested Citation: Zamyatina, Nadezhda; Yashunsky, Alexey (2013) : How do strong social ties shape youth migration trajectories (using data from the Russian on-line social network www.vk.com), 53rd Congress of the European Regional Science Association: "Regional Integration: Europe, the Mediterranean and the World Economy", 27-31 August 2013, Palermo, Italy, European Regional Science Association (ERSA), Louvain-la-Neuve This Version is available at: http://hdl.handle.net/10419/123906 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte.
    [Show full text]
  • Fedex Social Media Guidelines
    FedEx Social Media Guidelines These Guidelines provide employees with a summary of FedEx’s policies and guidance that apply to personal participation and comments on social media sites such as Facebook, Twitter, Instagram, LinkedIn, QZone, VK, YouTube, Reddit, Snapchat, Google+, Pinterest, Tumblr, blogs and wikis. The Guidelines apply to all external social media situations where you associate yourself with FedEx, interact with other FedEx employees, customers or vendors or comment on FedEx social media posts, products or services. The Guidelines are not intended to limit any employee rights, including privacy or the right to communicate about wages, hours or terms and conditions of employment. As is standard in all industries, FedEx monitors public social media mentions of FedEx for opportunities to engage with customers and employees. If you have any questions about FedEx policies or these Guidelines, ask your manager or your Human Resources department. Authorized FedEx social media accounts Only designated employees are authorized to establish social media profiles or accounts on behalf of FedEx, speak on behalf of FedEx on social media or use social media to conduct FedEx business. If you want to establish a social media presence on behalf of FedEx or a FedEx department, speak on behalf of FedEx in social media or use social media to conduct FedEx business, please contact the FedEx Global Social Media team by sending an email to [email protected]. Question: I want to use my social media account to communicate with FedEx customers in my territory. Do I need approval from FedEx? Answer: Yes. If you plan to use a social media account to conduct FedEx business contact [email protected] for information and approval.
    [Show full text]
  • Trilateral Large-Scale OSN Account Linkability Study Alice Tweeter Bob Yelper Eve Flickerer
    1 Trilateral Large-Scale OSN Account Linkability Study Alice Tweeter Bob Yelper Eve Flickerer Abstract—In the last decade, Online Social Networks (OSNs) to be hybrid sites, that include some social networking have taken the world by storm. They range from superficial functionality, beyond user-provided reviews. Users are to professional, from focused to general-purpose, and, from evaluated by their reputations and there are typically no free-form to highly structured. Numerous people have multiple accounts within the same OSN and even more people have size restrictions on reviews. an account on more than one OSN. Since all OSNs involve Despite their indisputable popularity, OSNs prompt some some amount of user input, often in written form, it is natural privacy concerns.1 With growing revenue on targeted ads, to consider whether multiple incarnations of the same person many OSNs are motivated to increase and broaden user in various OSNs can be effectively correlated or linked. One profiling and, in the process, accumulate large amounts of intuitive means of linking accounts is by using stylometric analysis. Personally Identifiable Information (PII). Disclosure of this This paper reports on (what we believe to be) the first trilateral PII, whether accidental or intentional, can have unpleasant large-scale stylometric OSN linkability study. Its outcome has and even disastrous consequences for some OSN users. Many important implications for OSN privacy. The study is trilateral OSNs acknowledge this concern offering adjustable settings since it involves three OSNs with very different missions: (1) for desired privacy levels. Yelp, known primarily for its user-contributed reviews of various venues, e.g, dining and entertainment, (2) Twitter, popular for its pithy general-purpose micro-blogging style, and (3) Flickr, used A.
    [Show full text]
  • CHECKLIST How to Compare Social Software Platforms
    CHECKLIST How to Compare Social Software Platforms. Introduction Contents Solving social use cases today requires a variety of key capabilities. I. Content Planning & Publishing Amidst all the fancy pictures and hopeful promises, what technology capabilities do brands need to enable their success? II. Moderation Whether brands focus today in one key area (such as publishing across multiple channels), or more complex (such as integrating owned and III. Audiences & Onsite earned) this checklist covers the breadth of social needs. It is organized Engagement into sections to identify with your critical goals. But, each section’s capabilities should actually be inter-connected in the platform–built from one code base–to have all of social in one place. IV. Paid Advertising No matter what requirements are burning today, they will only continue to grow. Social use cases are becoming more advanced V. Listening & Visualization and spreading throughout the organization. When you invest in a social platform, it should easily scale as your needs and social maturity advance. VI. Reporting & Analytics VII. Additional a. Security & Governance b. Mobile c. Global scale & Internationalization d. Social Channels e. Integrations 1 I. Content Planning & Publishing Organize and distribute relevant content for the most impactful audience, time, and channel. Publishing τ Research and track current trends, events, weather, sports events, and more from a single view to Instantly draft, schedule, and publish content to τ inspire real-time content over 20 social
    [Show full text]
  • Top Social Media
    TOP SOCIAL MEDIA 2017 Edition SOCIAL MEDIA NETWORKS Social Media networks you can utilize for your business marketing. FACEBOOK TWITTER INSTAGRAM YOUTUBE Pricing: $0, Pricing: $0, Pricing: $0, Pricing: $0 Pricing varies on advertising Pricing varies on advertising Pricing varies on advertising Major Features(s): Major Features(s): Major Features(s): · A very user friendly interface Major Features(s): · Seamlessly combine. · Photo albums & older posts · Easy to make new contacts to help manage Facebook, Twitter, Instagram and remain on your wall. & extend your social circle Twitter, Linkedin and Google+ Facebook · Can post multiple photos. beyond your friends. · Smartbox inbox to view all · Visually appealing · Can be as wordy ·Posts, or “tweets,” enjoyed the messages your various · Photo filters and easy to use as you wish. by your followers are often social media channels · The ability to market to the · Businesses are even using rebroadcast as re-tweets. Major Drawback(s): younger demographic their Facebook Page as their Major Drawback(s): · YouTube has a vast amount of · Can post multiple photos blogging platform. · Tweets are a moment in rules that need to be adhered so · Utilize Instagram stories time, then lost in a user’s that your partnership can maintain Major Drawback(s): · Can post engaging video Twitter feed a good standing , The amount of · Setup of a Facebook Page is · Limited to 140 Major Drawback(s): rules restricts some aspects of what labor intensive, especially if characters for a tweet · Only available for you can do
    [Show full text]
  • Arxiv:1911.06861V1 [Cs.SI] 15 Nov 2019 Complimentary Features and User Bases
    Large-Scale Parallel Matching of Social Network Profiles Alexander Panchenko1, Dmitry Babaev2, and Sergei Obiedkov3 1 TU Darmstadt, FG Language Technology, Darmstadt, Germany [email protected] 2 Tinkoff Credit Systems Inc., Moscow, Russia [email protected]. 3 National Research University Higher School of Economics, Moscow, Russia [email protected] Abstract. A profile matching algorithm takes as input a user profile of one social network and returns, if existing, the profile of the same person in another social network. Such methods have immediate applications in Internet marketing, search, security, and a number of other domains, which is why this topic saw a recent surge in popularity. In this paper, we present a user identity resolution approach that uses minimal supervision and achieves a precision of 0.98 at a recall of 0.54. Furthermore, the method is computationally efficient and easily paral- lelizable. We show that the method can be used to match Facebook, the most popular social network globally, with VKontakte, the most popular social network among Russian-speaking users. Keywords: User identify resolution, entity resolution, profile matching, record linkage, social networks, social network analysis, Facebook, Vkontakte. 1 Introduction Online social networks enjoy a tremendous success with general public. They have even become a synonym of the Internet for some users. While there are clear global leaders in terms of the number of users, such as Facebook4, Twitter5 and LinkedIn6, these big platforms are constantly challenged by a plethora of niche and/or local social services trying to find their place on the market. For instance, VKontakte7 is an online social network, similar to Facebook in many respects, that enjoys a huge popularity among Russian-speaking users.
    [Show full text]
  • Russian Social Network VK Launches Photo Sharing App 20 July 2015
    Russian social network VK launches photo sharing app 20 July 2015 enthusiasts to turn to Instagram. "This is VK's first service for mobile phones that functions independently from the social network, while being closely integrated to it," VK operations director Andrei Rogozov said in a statement on Monday. "We are creating a new global project that is not limited to the site's users." The launch comes just over a year after Durov's departure from the VK group. The enigmatic founder resigned last year after an enduring conflict with Kremlin-linked shareholders. Following Durov's departure, VK came under the control of Russian Internet group Mail.ru. Russian opposition leader Alexei Navalny takes a selfie photograph with the media during a hearing at Moscow's Lyublinsky district court on May 13, 2015 © 2015 AFP Russia's most popular social network VK has launched a photo-sharing mobile application to rival Facebook's popular Instagram service. Snapster, available on Apple and Android phones since the weekend, allows users to share pictures modified with digital filters. The service also allows users to send pictures that automatically delete themselves after a certain time limit and to embed photos and comments on their VK accounts. VK, sometimes referred to as the "Russian Facebook," was created in 2006 as Vkontakte ("in touch") by young Internet entrepreneur Pavel Durov. The social media network is far more popular than Facebook in former Soviet republics, where it has more than 100 million users. Unlike its US rival Facebook, VK did not have a picture sharing service, leading Russia's selfie 1 / 2 APA citation: Russian social network VK launches photo sharing app (2015, July 20) retrieved 25 September 2021 from https://phys.org/news/2015-07-russian-social-network-vk-photo.html This document is subject to copyright.
    [Show full text]
  • Reinventing Storage for Social Networks with Intel® Technology
    CASE STUDY Cloud Service Providers Data Center Reinventing Storage for Social Networks with Intel® Technology Social network VK engineered a strong storage solution to deliver great performance for its 97 million users and optimize total cost of ownership. Social networking is hugely data intensive. No wonder, then, that data storage consumes a significant part of the budget of VK, Russia’s largest social network. VK modernized its tiered storage using Intel® Optane™ persistent memory, Intel® Optane™ SSDs, Intel® SSDs with non-volatile memory express (NVMe), and Intel® FPGA Programmable Acceleration Cards (PACs). As a result, VK expects to make significant financial savings while improving performance. Challenge • Lower the cost of data storage, growing at a rate of hundreds of petabytes per year.1 • Support data tiering, with data migrating to lower cost storage as it is less frequently accessed. Spotlight on VK • Eliminate the need to store multiple formats of the same image to serve to different end-user devices. VK is the largest social network in Russia and the Commonwealth Solution of Independent States (CIS) • VK re-engineered its storage architecture to lower the cost of storage while with 97 million monthly meeting its demanding performance requirements. active users. Its mission is to • VK upgraded the storage for frequently accessed data in its content delivery connect people, services and network (CDN) to Intel® SSDs with 3D NAND technology, and moved the most companies by creating simple frequently used data to Intel® Optane™ SSDs. and convenient communication tools. Headquartered in St • VK introduced Intel Optane persistent memory for the rating counter servers Petersburg, VK also has bases in that support the newsfeed, migrating data away from more expensive DRAM.
    [Show full text]
  • Modeling and Analyzing Privacy in Social Networks
    Session: Research Track - Privacy SACMAT’18, June 13-15, 2018, Indianapolis, IN, USA My Friend Leaks My Privacy: Modeling and Analyzing Privacy in Social Networks Lingjing Yu1;2, Sri Mounica Motipalli3, Dongwon Lee4, Peng Liu4, Heng Xu4, Qingyun Liu1;2, Jianlong Tan1;2, and Bo Luo3 1 Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China 2 University of Chinese Academy of Sciences, Beijing, China 3 Department of Electrical Engineering and Computer Science, The University of Kansas, USA 4 School of Information Science and Technology, The Pennsylvania State University, USA [email protected],[email protected],[email protected],[email protected], [email protected],[email protected],[email protected],[email protected] ABSTRACT 1 INTRODUCTION With the dramatically increasing participation in online social net- In recent years, many online social network services (SNSs) such as works (OSNs), huge amount of private information becomes avail- Facebook have become extremely popular, attracting a large num- able on such sites. It is critical to preserve users’ privacy without ber of users to generate and share diverse (personal) contents. With preventing them from socialization and sharing. Unfortunately, ex- the advancement of information retrieval and search techniques, on isting solutions fall short meeting such requirements. We argue the other hand, it has become easier to do web-scale identification that the key component of OSN privacy protection is protecting and extraction of users’ personal information from SNSs. There- (sensitive) content – privacy as having the ability to control informa- fore, malicious or curious users could take an advantage of these tion dissemination.
    [Show full text]