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Principles, Models, and Methods for the Characterization and Analysis of Lurkers in Online Social Networks
Principles, models, and methods for the characterization and analysis of lurkers in online social networks Roberto Interdonato, Andrea Tagarelli DIMES Dept., Università della Calabria, Italy The 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining Lurking in OSNs: Principles, Models, and Methods Lurking in OSNs: Principles, Models, and Methods Lurk(er): what meanings Lurking in OSNs: Principles, Models, and Methods “Lurker”: let’s google it … Lurking in OSNs: Principles, Models, and Methods Lurk(er): what meanings Lurking in OSNs: Principles, Models, and Methods Outline 1. Lurking in online communities 2. Modeling lurking behaviors Topology-driven lurking definition The issue of controversial definitions Lurking and online behavioral 3. Lurker ranking methods models 4. Experimental evaluation The opportunity of de-lurking Static scenarios Dynamic scenarios 5. Applications to other domains Vicariously learning Lurking in social trust contexts 6. Delurking via Targeted Influence Maximization The DEvOTION algorithm 7. Conclusion and future work Lurking in OSNs: Principles, Models, and Methods LURKING IN ONLINE COMMUNITIES Lurking in OSNs: Principles, Models, and Methods The 1:9:90 rule of participation inequality (1/3) Arthur, C. (2006). What is the 1% rule? In: The guardian. UK: Guardian News and Media. Lurking in OSNs: Principles, Models, and Methods The 1:9:90 rule of participation inequality (2/3) • [Nonnecke & Preece, 2000] Email-based discussion lists: • 77 online health support groups and 21 online technical support groups • 46% of the health support group members and 82% of the technical support group members are lurkers • [Swartz, 2006] On Wikipedia: over 50% of all the edits are done by only 0.7% of the users • [van Mierlo, 2014] On four DHSNs (AlcoholHelpCenter, DepressionCenter, PanicCenter, and StopSmokingCenter): • 63,990 users, 578,349 posts • Lurkers account for 1.3% (n=4668), Contributors for 24.0% (n=88,732), and Superusers for 74.7% (n=276,034) of content Nonnecke, B., Preece, J. -
THE TRUTH CAN CATCH the LIE: the FLAWED UNDERSTANDING of ONLINE SPEECH in INRE Anonymous ONLINE SPEAKERS Musetta Durkeet
THE TRUTH CAN CATCH THE LIE: THE FLAWED UNDERSTANDING OF ONLINE SPEECH IN INRE ANoNYMous ONLINE SPEAKERS Musetta Durkeet In the early years of the Internet, many cases seeking disclosure of anonymous online speakers involved large companies seeking to unveil identities of anonymous posters criticizing the companies on online financial message boards.' In such situations, Internet service providers (ISPs)-or, less often, online service providers (OSPs)2-- disclosed individually- identifying information, often without providing defendants notice of this disclosure,' and judges showed hostility towards defendants' motions to quash.4 Often these subpoenas were issued by parties alleging various civil causes of action, including defamation and tortious interference with business contracts.s These cases occurred in a time when courts and the general public alike pictured the Internet as a wild west-like "frontier society,"' devoid of governing norms, where anonymous personalities ran C 2011 Musetta Durkee. t J.D. Candidate, 2012, University of California, Berkeley School of Law. 1. Lyrissa Barnett Lidsky, Anonymity in Cyberspace: What Can We LearnfromJohn Doe?, 50 B.C. L. REv. 1373, 1373-74 (2009). 2. As will be discussed below, there has been some conflation of two separate services that allow users to access the Internet, on the one hand, and engage in various activities, speech, and communication, on the other. Most basically, this Note distinguishes between Internet Service Providers (JSPs) and Online Service Providers (OSPs) in order to separate those services and companies involved with providing subscribers access to the infrastructure of the Internet (ISPs, and their subscribers) and those services and companies involved with providing users with online applications, services, platforms, and spaces on the Internet (OSPs and their users). -
Digital Platform As a Double-Edged Sword: How to Interpret Cultural Flows in the Platform Era
International Journal of Communication 11(2017), 3880–3898 1932–8036/20170005 Digital Platform as a Double-Edged Sword: How to Interpret Cultural Flows in the Platform Era DAL YONG JIN Simon Fraser University, Canada This article critically examines the main characteristics of cultural flows in the era of digital platforms. By focusing on the increasing role of digital platforms during the Korean Wave (referring to the rapid growth of local popular culture and its global penetration starting in the late 1990s), it first analyzes whether digital platforms as new outlets for popular culture have changed traditional notions of cultural flows—the forms of the export and import of popular culture mainly from Western countries to non-Western countries. Second, it maps out whether platform-driven cultural flows have resolved existing global imbalances in cultural flows. Third, it analyzes whether digital platforms themselves have intensified disparities between Western and non- Western countries. In other words, it interprets whether digital platforms have deepened asymmetrical power relations between a few Western countries (in particular, the United States) and non-Western countries. Keywords: digital platforms, cultural flows, globalization, social media, asymmetrical power relations Cultural flows have been some of the most significant issues in globalization and media studies since the early 20th century. From television programs to films, and from popular music to video games, cultural flows as a form of the export and import of cultural materials have been increasing. Global fans of popular culture used to enjoy films, television programs, and music by either purchasing DVDs and CDs or watching them on traditional media, including television and on the big screen. -
Social Media Why You Should Care What Is Social Media? Social Network
Social Media Why You Should Care IST 331 - Olivier Georgeon, Frank Ritter 31 oct 15 • eMarketer (2007) estimated by 2011 one-half Examples of all Internet users will use social networking • Facebook regulary. • YouTube • By 2015, 75% use • Myspace • Twitter • Del.icio.us • Digg • Etc… 2 What is Social Media? Social Network • Social Network • Online communities of people who share • User Generated Content (UGC) interests and activities, • Social Bookmarking • … or who are interested in exploring the interests and activities of others. • Examples: Facebook, MySpace, LinkedIn, Orkut • Falls to analysis with tools in Ch. 9 3 4 User Generated Content (UGC) Social Bookmarking • A method for Internet users to store, organize, search, • or Consumer Generated Media (CGM) and manage bookmarks of web pages on the Internet with the help of metadata. • Based on communities; • Defined: Media content that is publicly – The more people who bookmark a piece of content, the more available and produced by end-users (user). value it is determined to have. • Examples: Digg, Del.icio.us, StumbleUpon, and reddit….and now combinations • Usually supported by a social network • Examples: Blogs, Micro-blogs, YouTube video, Flickr photos, Wiki content, Facebook wall posts, reddit, Second Life… 5 6 Social Media Principles Generate an activity stream • Automatic • Who you are – Google History, Google Analytics – Personalization • Blog • Who you know • Micro-blog – Browse network – Twitter, yammer, identi.ca • What you do • Mailing groups – Generate an activity stream -
Security and Online Social Networks
Security and Online Social Networks Javier Echaiz and Jorge Ardenghi Laboratorio de Investigaci´on de Sistemas Distribuidos (LISiDi), Departamento de Ciencias e Ingenier´ıa de la Computaci´on Tel´efono: +54 291 4595135, Fax: +54 291 4595136 Universidad Nacional del Sur, Bah´ıa Blanca (8000), Argentina {je,jra}@cs.uns.edu.ar, WWW home page: http://lisidi.cs.uns.edu.ar Abstract. In the last few years we have witnessed a sustained rise in the popularity of online Social Network Sites (SNSs) such as Twitter, Facebook, Myspace, Flickr, LinkedIn, FriendFeed, Google Friend Con- nect, Yahoo! Groups, etc., which are some of the most visited websites worldwide. However, since they are are easy to use and the users are often not aware of the nature of the access of their profiles, they often reveal information which should be kept away from the public eyes. As a result, these social sites may originate security related threats for their members. This paper highlights the benefits of safe use of SNSs and emphasizes the most important threats to members of SNSs. Moreover, we will show the main factors behind these threats. Finally we present policy and technical recommendations in order to improve security without compromising the benefits of information sharing through SNSs. Keywords: Online Social Network, Privacy, Profile squatting, Identity threat, Image Tagging and Cross-profiling. 1 Introduction The advent of the Internet has given rise to many forms of online sociality, from the old e-mail and Usenet services to the more recent instant messaging (IM), blogging, and online social services. Among these, the technological phenomenon that has acquired the greatest popularity in this 21st century is the latter, the Social Networking Sites (SNSs). -
M&A @ Facebook: Strategy, Themes and Drivers
A Work Project, presented as part of the requirements for the Award of a Master Degree in Finance from NOVA – School of Business and Economics M&A @ FACEBOOK: STRATEGY, THEMES AND DRIVERS TOMÁS BRANCO GONÇALVES STUDENT NUMBER 3200 A Project carried out on the Masters in Finance Program, under the supervision of: Professor Pedro Carvalho January 2018 Abstract Most deals are motivated by the recognition of a strategic threat or opportunity in the firm’s competitive arena. These deals seek to improve the firm’s competitive position or even obtain resources and new capabilities that are vital to future prosperity, and improve the firm’s agility. The purpose of this work project is to make an analysis on Facebook’s acquisitions’ strategy going through the key acquisitions in the company’s history. More than understanding the economics of its most relevant acquisitions, the main research is aimed at understanding the strategic view and key drivers behind them, and trying to set a pattern through hypotheses testing, always bearing in mind the following question: Why does Facebook acquire emerging companies instead of replicating their key success factors? Keywords Facebook; Acquisitions; Strategy; M&A Drivers “The biggest risk is not taking any risk... In a world that is changing really quickly, the only strategy that is guaranteed to fail is not taking risks.” Mark Zuckerberg, founder and CEO of Facebook 2 Literature Review M&A activity has had peaks throughout the course of history and different key industry-related drivers triggered that same activity (Sudarsanam, 2003). Historically, the appearance of the first mergers and acquisitions coincides with the existence of the first companies and, since then, in the US market, there have been five major waves of M&A activity (as summarized by T.J.A. -
A Survey of Adversarial Learning on Graph
A Survey of Adversarial Learning on Graph LIANG CHEN, Sun Yat-sen University of China JINTANG LI, Sun Yat-sen University of China JIAYING PENG, Sun Yat-sen University of China TAO XIE, Sun Yat-sen University of China ZENGXU CAO, Hangzhou Dianzi University of China KUN XU, Sun Yat-sen University of China XIANGNAN HE, University of Science and Technology of China ZIBIN ZHENG∗, Sun Yat-sen University of China Deep learning models on graphs have achieved remarkable performance in various graph analysis tasks, e.g., node classication, link prediction and graph clustering. However, they expose uncertainty and unreliability against the well-designed inputs, i.e., adversarial examples. Accordingly, a line of studies have emerged for both aack and defense addressed in dierent graph analysis tasks, leading to the arms race in graph adversarial learning. Despite the booming works, there still lacks a unied problem denition and a comprehensive review. To bridge this gap, we investigate and summarize the existing works on graph adversarial learning tasks systemically. Specically, we survey and unify the existing works w.r.t. aack and defense in graph analysis tasks, and give appropriate denitions and taxonomies at the same time. Besides, we emphasize the importance of related evaluation metrics, investigate and summarize them comprehensively. Hopefully, our works can provide a comprehensive overview and oer insights for the relevant researchers. More details of our works are available at hps://github.com/gitgiter/Graph-Adversarial-Learning. CCS Concepts: •Computing methodologies ! Semi-supervised learning settings; Neural networks; •Security and privacy ! So ware and application security; •Networks ! Network reliability; Additional Key Words and Phrases: adversarial learning, graph neural networks, adversarial aack and defense, adversarial examples, network robustness ACM Reference format: Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, and Zibin Zheng. -
News in Social Media and Messaging Apps
News in social media and messaging apps Qualitative research report Prepared for the Reuters Institute for the Study of Journalism, University of Oxford with the support of the Google News Initiative September 2018 Contents EXECUTIVE SUMMARY 3 INTRODUCTION 4 2.1 BACKGROUND 4 2.2 RESEARCH OBJECTIVES 4 2.3 RESEARCH DESIGN 5 FACEBOOK AND NEWS 6 3.1 IN THE BEGINNING 6 3.2 FACEBOOK’S BUNDLE OF BENEFITS 6 3.3 NEWS ADDED TO THE MIX 8 3.4 FALLING OUT OF LOVE WITH FACEBOOK 8 3.5 MAJOR CHANGE ANNOUNCED 10 MESSAGING APPS AND NEWS 13 4.1 THE SHIFT TO MESSAGING APPS 13 4.2 COMPARING NETWORKS 15 TRUST AND DIGITAL LITERACY 17 5.1 ALGORITHMS, FILTER BUBBLES AND ECHO CHAMBERS 17 5.2 THE SPECTRE OF FAKE NEWS 17 5.3 HOW SHOULD GOVERNMENTS RESPOND TO FAKE NEWS? 19 5.4 CRITICAL ASSESSMENT 20 5.5 TRUST CUES IN FACEBOOK 22 5.6 TRUST CUES IN WHATSAPP 23 5.7 VIDEO AND AUDIO 24 CONCLUSIONS AND IMPLICATIONS 25 APPENDIX 26 7.1 METHODOLOGY AND SAMPLE 26 7.2 RECRUITMENT QUESTIONNAIRE FLOW 27 7.3 DISCUSSION FLOW 27 7.4 PEAK IN USE OF FACEBOOK FOR NEWS 28 7.5 GROWTH IN USE OF MESSAGING APPS FOR NEWS 28 7.6 MARK ZUCKERBERG ANNOUNCEMENT 29 2 Executive summary The tide is turning on Facebook as a news platform because its phenomenal success as a social network has made it less conducive to discussing and sharing news. People are being pushed to the safety of messaging apps by the combination of privacy fears, exposure risk, content clutter and declining relevance. -
Network Overlap and Content Sharing on Social Media Platforms
Network Overlap and Content Sharing on Social Media Platforms Jing Peng1, Ashish Agarwal2, Kartik Hosanagar3, Raghuram Iyengar3 1School of Business, University of Connecticut 2McCombs School of Business, University of Texas at Austin 3The Wharton School, University of Pennsylvania [email protected] [email protected] {kartikh, riyengar}@wharton.upenn.edu February 15, 2017 Acknowledgments. We benefited from feedback from session participants at 2013 Symposium on Statistical Challenges in eCommerce Research, 2014 International Conference on Information Systems, 2015 Workshop on Information in Networks, 2015 INFORMS Annual Meeting, and 2015 Workshop on Information Systems and Economics. The authors would like to thank Professors Christophe Van den Bulte, Paul Shaman, and Dylan Small for helpful discussions. This project was made possible by financial support extended to the first author through Mack Institute Research Fellowship, President Gutmann's Leadership Award, and Baker Retailing Center PhD Research Grant. 1 Network Overlap and Content Sharing on Social Media Platforms ABSTRACT We study the impact of network overlap – the overlap in network connections between two users – on content sharing in directed social media platforms. We propose a hazards model that flexibly captures the impact of three different measures of network overlap (i.e., common followees, common followers and common mutual followers) on content sharing. Our results indicate a receiver is more likely to share content from a sender with whom they share more common followees, common followers or common mutual followers after accounting for other measures. Additionally, the effect of common followers and common mutual followers is positive when the content is novel but decreases, and may even become negative, when many others in the network have already adopted it. -
Magento Facebook All in One User Guide
1 Table of Contents: 1. Introduction to Facebook All in One .............................................................. 3 2. How to Install and Deactivate ....................................................................... 4 3. How to Create Facebook App ...................................................................... 5 4. How to Configure ........................................................................................ 13 5. How to Use ................................................................................................. 18 2 1. Introduction to Facebook All in One Magento Facebook All in One is an extension to boost your Magento store with all Facebook force and power. Help your customers avoid boring registration process and let them log into your store with their Facebook accounts. Users will be able to like your products and share page blocks, populate their social news feed with the information about the products they like and want to buy, this way helping you to promote your products among greater audience. Be on top of of traditional marketing strategies and encourage your viewers to leave comments, like your pages and share their purchases with friends. Key features: • Facebook Login; • Every product is supplied with Like and Share button; • Comments available on the product page; • Ability to share successfully completed orders; • Recent activities block; • Customers are able to share their wishlist; • Likes/comments amount statistics are available for you in the admin panel. Overall information Facebook Login allows your customers to log in to the system safely, using their Facebook accounts. The Facebook Like strengthens the impact and increases the traffic of your store. The more likes you have, the more customers you get. Facebook-based Comments reflect the interest of your clients and give reasons to purchase to those who are uncertain. With Facebook Share feature your customers can share successfully completed orders and wishlists with their Facebook friends. -
Facebook Timeline
Facebook Timeline 2003 October • Mark Zuckerberg releases Facemash, the predecessor to Facebook. It was described as a Harvard University version of Hot or Not. 2004 January • Zuckerberg begins writing Facebook. • Zuckerberg registers thefacebook.com domain. February • Zuckerberg launches Facebook on February 4. 650 Harvard students joined thefacebook.com in the first week of launch. March • Facebook expands to MIT, Boston University, Boston College, Northeastern University, Stanford University, Dartmouth College, Columbia University, and Yale University. April • Zuckerberg, Dustin Moskovitz, and Eduardo Saverin form Thefacebook.com LLC, a partnership. June • Facebook receives its first investment from PayPal co-founder Peter Thiel for US$500,000. • Facebook incorporates into a new company, and Napster co-founder Sean Parker becomes its president. • Facebook moves its base of operations to Palo Alto, California. N. Lee, Facebook Nation, DOI: 10.1007/978-1-4614-5308-6, 211 Ó Springer Science+Business Media New York 2013 212 Facebook Timeline August • To compete with growing campus-only service i2hub, Zuckerberg launches Wirehog. It is a precursor to Facebook Platform applications. September • ConnectU files a lawsuit against Zuckerberg and other Facebook founders, resulting in a $65 million settlement. October • Maurice Werdegar of WTI Partner provides Facebook a $300,000 three-year credit line. December • Facebook achieves its one millionth registered user. 2005 February • Maurice Werdegar of WTI Partner provides Facebook a second $300,000 credit line and a $25,000 equity investment. April • Venture capital firm Accel Partners invests $12.7 million into Facebook. Accel’s partner and President Jim Breyer also puts up $1 million of his own money. -
Facebook Messenger Kids App Parental
Parental controls guide Facebook Messenger Kids app Parental Controls information Type of guide Social media privacy guides Features and Benefits Messenger Kids by Facebook, is a video chat and messaging app that helps children to connect with friends and family in a fun, parent-controlled space. The app is created for children aged between 6-12. It allows them to video call and message friends with added features to help them stay safe. What specific content can I restrict? Chatting Location sharing Parental control Privacy Social networking Timer What do I need? The Messenger Kids app and a Facebook account - for the parent / carer Facebook Messenger Kids app Step by step guide 1 Get started You can get started with Messenger Kids in four easy steps. Your child doesn’t need a phone number to sign up: – Download the app – You can find it on the Google Play Store, Apple App Store or the Amazon App Store. – Authorise your child’s device – You would need to authenticate your child device using your Facebook login – Create an account for your child by adding their name and other details. You can take a photo and choose a colour – Customise parental controls – You can manage your child’s account and customise controls from the Parent Dashboard in the app Learn more about the Parent Dashboard. 1 Facebook Messenger Kids app 2 Facebook Messenger Kids app Step by step guide 2 Add a friend You can add contacts from the Parent Dashboard in your Facebook app or from your child’s Messenger Kids app.