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We explore how the polarization around controversial topics evolves on Twitter - over a long period of time (2011 to 2016), and also as a response to major external events that lead to increased related activity. We find that increased…

Social and Information Networks · Computer Science 2017-03-20 Kiran Garimella , Gianmarco De Francisci Morales , Aristides Gionis , Michael Mathioudakis

We study the evolution of long-lived controversial debates as manifested on Twitter from 2011 to 2016. Specifically, we explore how the structure of interactions and content of discussion varies with the level of collective attention, as…

Social and Information Networks · Computer Science 2017-05-18 Kiran Garimella , Gianmarco De Francisci Morales , Aristides Gionis , Michael Mathioudakis

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

This study examines Facebook and YouTube content from over a thousand news outlets in four European languages from 2018 to 2023, using a Bayesian structural time-series model to evaluate the impact of viral posts. Our results show that most…

Social and Information Networks · Computer Science 2024-07-19 Emanuele Sangiorgio , Niccolò Di Marco , Gabriele Etta , Matteo Cinelli , Roy Cerqueti , Walter Quattrociocchi

This paper provides a simple theoretical framework to evaluate the effect of key parameters of ranking algorithms, namely popularity and personalization parameters, on measures of platform engagement, misinformation and polarization. The…

Social and Information Networks · Computer Science 2022-10-06 Fabrizio Germano , Vicenç Gómez , Francesco Sobbrio

Nowadays users get informed and shape their opinion through social media. However, the disintermediated access to contents does not guarantee quality of information. Selective exposure and confirmation bias, indeed, have been shown to play…

Social and Information Networks · Computer Science 2016-10-24 Michela Del Vicario , Fabiana Zollo , Guido Caldarelli , Antonio Scala , Walter Quattrociocchi

Recent findings showed that users on Facebook tend to select information that adhere to their system of beliefs and to form polarized groups -- i.e., echo chambers. Such a tendency dominates information cascades and might affect public…

Members of different political groups not only disagree about issues but also dislike and distrust each other. While social media can amplify this emotional divide -- called affective polarization by political scientists -- there is a lack…

Social and Information Networks · Computer Science 2024-05-09 Kristina Lerman , Dan Feldman , Zihao He , Ashwin Rao

Which topics spark the most heated debates on social media? Identifying those topics is not only interesting from a societal point of view, but also allows the filtering and aggregation of social media content for disseminating news…

Social and Information Networks · Computer Science 2017-09-21 Kiran Garimella , Gianmarco De Francisci Morales , Aristides Gionis , Michael Mathioudakis

Initially conceived for entertainment, social media platforms have profoundly transformed the dissemination of information and consequently reshaped the dynamics of agenda-setting. In this scenario, understanding the factors that capture…

Social and Information Networks · Computer Science 2024-06-25 Emanuele Sangiorgio , Matteo Cinelli , Roy Cerqueti , Walter Quattrociocchi

This paper studies the dynamics of opinion formation and polarization in social media. We investigate whether users' stance concerning contentious subjects is influenced by the online discussions they are exposed to and interactions with…

Social and Information Networks · Computer Science 2021-10-29 Christine Largeron , Andrei Mardale , Marian-Andrei Rizoiu

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

Online social networks provide a medium for citizens to form opinions on different societal issues, and a forum for public discussion. They also expose users to viral content, such as breaking news articles. In this paper, we study the…

Social and Information Networks · Computer Science 2022-04-11 Sijing Tu , Stefan Neumann

Users online tend to acquire information adhering to their system of beliefs and to ignore dissenting information. Such dynamics might affect page popularity. In this paper we introduce an algorithm, that we call PopRank, to assess both the…

Social and Information Networks · Computer Science 2019-03-06 Andrea Zaccaria , Michela del Vicario , Walter Quattrociocchi , Antonio Scala , Luciano Pietronero

Online and in the real world, communities are bonded together by emotional consensus around core issues. Emotional responses to scientific findings often play a pivotal role in these core issues. When there is too much diversity of opinion…

Social and Information Networks · Computer Science 2020-01-07 Cole Freeman , Hamed Alhoori , Murtuza Shahzad

In this age of Facebook, Instagram and Twitter, there is rapidly growing interest in understanding network-enabled opinion dynamics in large groups of autonomous agents. The phenomena of opinion polarization, the spread of propaganda and…

Physics and Society · Physics 2020-06-08 Hossein Noorazar , Kevin R. Vixie , Arghavan Talebanpour , Yunfeng Hu

The Facebook Privacy-Protected Full URLs Dataset was released to enable independent, academic research on the impact of Facebook's platform on society while ensuring user privacy. The dataset has been used in several studies to analyze the…

Computers and Society · Computer Science 2025-10-01 Emma Fraxanet , Andreas Kaltenbrunner , Fabrizio Germano , Vicenç Gómez

Are users who comment on a variety of matters more likely to achieve high influence than those who delve into one focused field? Do general Twitter hashtags, such as #lol, tend to be more popular than novel ones, such as #instantlyinlove?…

Social and Information Networks · Computer Science 2015-06-18 Lilian Weng , Filippo Menczer

We study how political polarization is reflected in the social media posts used by media outlets to promote their content online. In particular, we track the Twitter posts of several media outlets over the course of more than three years…

Social and Information Networks · Computer Science 2021-11-05 Martin Saveski , Doug Beeferman , David McClure , Deb Roy

In the online public sphere, discussions about immigration often become increasingly fractious, marked by toxic language and polarization. Drawing on 4 million X posts over six months, we combine a user- and topic-centric approach to study…

Social and Information Networks · Computer Science 2025-07-30 Una Joh , Yiqi Li , Jeff Hemsley
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