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Related papers: Users Polarization on Facebook and Youtube

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We combine user-centric Twitter data with video-centric YouTube data to analyze who watches and shares what on YouTube. Combination of two data sets, with 87k Twitter users, 5.6mln YouTube videos and 15mln video sharing events, allows rich…

Social and Information Networks · Computer Science 2016-02-23 Adiya Abisheva , Venkata Rama Kiran Garimella , David Garcia , Ingmar Weber

Personalized recommendation algorithms, like those on YouTube, significantly shape online content consumption. These systems aim to maximize engagement by learning users' preferences and aligning content accordingly but may unintentionally…

Social and Information Networks · Computer Science 2025-01-28 Hussam Habib , Rishab Nithyanand

Faced with the challenge of attracting user attention and revenue, social media websites have turned to video advertisements (video-ads). While in traditional media the video-ad market is mostly based on an interaction between content…

Social and Information Networks · Computer Science 2016-04-28 Mariana Arantes , Flavio Figueiredo , Jussara M. Almeida

With rapid increase in online information consumption, especially via social media sites, there have been concerns on whether people are getting selective exposure to a biased subset of the information space, where a user is receiving more…

Social and Information Networks · Computer Science 2017-08-03 Abhijnan Chakraborty , Muhammad Ali , Saptarshi Ghosh , Niloy Ganguly , Krishna P. Gummadi

Polarization is a troubling phenomenon that can lead to societal divisions and hurt the democratic process. It is therefore important to develop methods to reduce it. We propose an algorithmic solution to the problem of reducing…

Social and Information Networks · Computer Science 2017-05-19 Kiran Garimella , Gianmarco De Francisci Morales , Aristides Gionis , Michael Mathioudakis

The relationship between content production and consumption on algorithm-driven platforms like YouTube plays a critical role in shaping ideological behaviors. While prior work has largely focused on user behavior and algorithmic…

Computation and Language · Computer Science 2026-03-10 Sarmad Chandio , Rishab Nithyanand

Social media platforms are known to optimize user engagement with the help of algorithms. It is widely understood that this practice gives rise to echo chambers\emdash users are mainly exposed to opinions that are similar to their own. In…

Social and Information Networks · Computer Science 2023-03-08 Fabian Baumann , Daniel Halpern , Ariel D. Procaccia , Iyad Rahwan , Itai Shapira , Manuel Wuthrich

The increasing reliance on digital platforms shapes how individuals understand the world, as recommendation systems direct users toward content "similar" to their existing preferences. While this process simplifies information retrieval,…

Computational Engineering, Finance, and Science · Computer Science 2024-12-17 Minhyeok Lee

In recent years, social media has increasingly become an important platform for political campaigns, especially elections. It remains elusive how exactly public discourse is driven by the intricate interplay between individual…

Physics and Society · Physics 2020-04-14 Xin Wang , Antonio D. Sirianni , Shaoting Tang , Zhiming Zheng , Feng Fu

Online content creators spend significant time and effort building their user base through a long, often arduous process that requires finding the right "niche" to cater to. So, what incentive is there for an established content creator…

Computers and Society · Computer Science 2026-02-27 Alejandro Cuevas , Manoel Horta Ribeiro , Nicolas Christin

Political debate nowadays takes place mainly on online social media, with election periods amplifying ideological engagement. Reddit is generally considered more resistant to polarization and echo chamber effects than platforms like Twitter…

Physics and Society · Physics 2025-11-04 Daniele Cirulli , Antonio Desiderio , Giulio Cimini , Fabio Saracco

In recent years, critics of online platforms have raised concerns about the ability of recommendation algorithms to amplify problematic content, with potentially radicalizing consequences. However, attempts to evaluate the effect of…

Social and Information Networks · Computer Science 2023-12-04 Homa Hosseinmardi , Amir Ghasemian , Miguel Rivera-Lanas , Manoel Horta Ribeiro , Robert West , Duncan J. Watts

Facebook uses Artificial Intelligence for targeting users with advertisements based on the events in which they engage like sharing, liking, making comments, posts by a friend, a group creation, etcetera. Each user interacts with these…

Social and Information Networks · Computer Science 2018-11-29 Sarang Mahajan , Amey Kasar

Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items will become popular is critically important for both…

Computers and Society · Computer Science 2010-04-30 Kristina Lerman , Tad Hogg

Social media platforms often foster environments where users primarily engage with content that aligns with their existing beliefs, thereby reinforcing their views and limiting exposure to opposing viewpoints. In this paper, we analyze X…

Social and Information Networks · Computer Science 2025-08-25 Blas Kolic , Fabián Aguirre-López , Sergio Hernández-Williams , Guillermo Garduño-Hernández

An increasing portion of modern socializing takes place via online social networks. Members of these communities often play distinct roles that can be deduced from observations of users' online activities. One such activity is the sharing…

Social and Information Networks · Computer Science 2016-11-17 Francis T. O'Donovan , Connie Fournelle , Steve Gaffigan , Oliver Brdiczka , Jianqiang Shen , Juan Liu , Kendra E. Moore

Social media users drive the spread of misinformation online by sharing posts that include erroneous information or commenting on controversial topics with unsubstantiated arguments often in earnest. Work on echo chambers has suggested that…

Social and Information Networks · Computer Science 2024-04-25 Xinyu Wang , Jiayi Li , Sarah Rajtmajer

This workshop paper reports on an ongoing mixed-methods study on the two arguably most popular social network sites, Facebook and Twitter, for the same users. The overarching goal of the study is to shed light into the nuances of social…

Social and Information Networks · Computer Science 2020-11-30 Tasos Spiliotopoulos , Ian Oakley

Recent years have witnessed a swelling rise of hateful and abusive content over online social networks. While detection and moderation of hate speech have been the early go-to countermeasures, the solution requires a deeper exploration of…

Social and Information Networks · Computer Science 2023-02-07 Vasu Goel , Dhruv Sahnan , Subhabrata Dutta , Anil Bandhakavi , Tanmoy Chakraborty

Social media platforms significantly influence ideological divisions by enabling users to select information that aligns with their beliefs and avoid opposing viewpoints. Analyzing approximately 47 million Facebook posts, this study…

Social and Information Networks · Computer Science 2024-07-08 Giulio Pecile , Niccolò Di Marco , Matteo Cinelli , Walter Quattrociocchi