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We investigate the predictability of successful memes using their early spreading patterns in the underlying social networks. We propose and analyze a comprehensive set of features and develop an accurate model to predict future popularity…

Social and Information Networks · Computer Science 2014-06-02 Lilian Weng , Filippo Menczer , Yong-Yeol Ahn

Measuring the impact and success of human performance is common in various disciplines, including art, science, and sports. Quantifying impact also plays a key role on social media, where impact is usually defined as the reach of a user's…

Social and Information Networks · Computer Science 2019-04-09 Kiran Garimella , Robert West

In the summer of 2021, users on the livestreaming platform Twitch were targeted by a wave of "hate raids," a form of attack that overwhelms a streamer's chatroom with hateful messages, often through the use of bots and automation. Using a…

Computers and Society · Computer Science 2023-01-16 Catherine Han , Joseph Seering , Deepak Kumar , Jeffrey T. Hancock , Zakir Durumeric

Live commenting on video, a popular feature of live streaming platforms, enables viewers to engage with the content and share their comments, reactions, opinions, or questions with the streamer or other viewers while watching the video or…

Computer Vision and Pattern Recognition · Computer Science 2023-11-23 Julien Lalanne , Raphael Bournet , Yi Yu

Information spread in social media depends on a number of factors, including how the site displays information, how users navigate it to find items of interest, users' tastes, and the `virality' of information, i.e., its propensity to be…

Social and Information Networks · Computer Science 2015-02-03 Jeon-Hyung Kang , Kristina Lermam

The use of social media platforms has been gradually increasing and fake news spreading is becoming an alarming issue nowadays. The spreading of fake news means disseminating false, confusing, and spurious information which hurts families,…

Social and Information Networks · Computer Science 2024-10-30 Umme Faria Moon , MD Ahsan Habib Rasel , Md. Musfique Anwar

Analyzing social media trends can create a win-win situation for both creators and consumers. Creators can receive fair compensation, while consumers gain access to engaging, relevant, and personalized content. This paper proposes a new…

Social and Information Networks · Computer Science 2024-06-27 Abhishek Saxena , Anton Kolonin

Current works on Information Centric Networking assume the spectrum of caching strategies under the Least Recently/ Frequently Used (LRFU) scheme as the de-facto standard, due to the ease of implementation and easier analysis of such…

Social and Information Networks · Computer Science 2014-07-07 Amandianeze O Nwana , Salman Avestimehr , Tsuhan Chen

With the growth of user-generated content, we observe the constant rise of the number of companies, such as search engines, content aggregators, etc., that operate with tremendous amounts of web content not being the services hosting it.…

Information Retrieval · Computer Science 2016-11-29 Alexey Drutsa , Gleb Gusev , Pavel Serdyukov

When evaluating the cause of one's popularity on Twitter, one thing is considered to be the main driver: Many tweets. There is debate about the kind of tweet one should publish, but little beyond tweets. Of particular interest is the…

Information Retrieval · Computer Science 2017-05-10 Juergen Mueller , Gerd Stumme

Many online social networks thrive on automatic sharing of friends' activities to a user through activity feeds, which may influence the user's next actions. However, identifying such social influence is tricky because these activities are…

Social and Information Networks · Computer Science 2016-04-06 Amit Sharma , Dan Cosley

Social networking websites allow users to create and share content. Big information cascades of post resharing can form as users of these sites reshare others' posts with their friends and followers. One of the central challenges in…

Social and Information Networks · Computer Science 2016-01-28 Qingyuan Zhao , Murat A. Erdogdu , Hera Y. He , Anand Rajaraman , Jure Leskovec

Social media, regarded as two-layer networks consisting of users and items, turn out to be the most important channels for access to massive information in the era of Web 2.0. The dynamics of human activity and item popularity is a crucial…

Physics and Society · Physics 2014-03-03 Peng Zhang , Menghui Li , Liang Gao , Ying Fan , Zengru Di

A main characteristic of social media is that its diverse content, copiously generated by both standard outlets and general users, constantly competes for the scarce attention of large audiences. Out of this flood of information some topics…

Physics and Society · Physics 2011-12-21 Chunyan Wang , Bernardo A. Huberman

Predicting the popularity of online content has attracted much attention in the past few years. In news rooms, for instance, journalists and editors are keen to know, as soon as possible, the articles that will bring the most traffic into…

Information Retrieval · Computer Science 2018-07-18 Sofiane Abbar , Carlos Castillo , Antonio Sanfilippo

A major task for moderators of online spaces is norm-setting, essentially creating shared norms for user behavior in their communities. Platform design principles emphasize the importance of highlighting norm-adhering examples and…

Human-Computer Interaction · Computer Science 2026-04-07 Agam Goyal , Charlotte Lambert , Yoshee Jain , Eshwar Chandrasekharan

Since the early days of the Web 2.0, online communities have been growing quickly and have become important part of life for large number of people. In one of these communities, fanfiction.net, users can read and write stories which are…

Social and Information Networks · Computer Science 2020-08-10 Andrés Carvallo , Denis Parra

This paper presents a systematic online prediction method (Social-Forecast) that is capable to accurately forecast the popularity of videos promoted by social media. Social-Forecast explicitly considers the dynamically changing and evolving…

Machine Learning · Computer Science 2015-06-19 Jie Xu , Mihaela van der Schaar , Jiangchuan Liu , Haitao Li

Whenever a social media user decides to share a story, she is typically pleased to receive likes, comments, shares, or, more generally, feedback from her followers. As a result, she may feel compelled to use the feedback she receives to…

Social and Information Networks · Computer Science 2019-09-20 Abir De , Adish Singla , Utkarsh Upadhyay , Manuel Gomez-Rodriguez

Modifiable health behaviors, a leading cause of illness and death in many countries, are often driven by individual beliefs and sentiments about health and disease. Individual behaviors affecting health outcomes are increasingly modulated…

Social and Information Networks · Computer Science 2012-08-01 Marcel Salathé , Duy Q. Vu , Shashank Khandelwal , David R. Hunter