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Politics in different countries show diverse degrees of polarization, which tends to be stronger on social media, given how easy it became to connect and engage with like-minded individuals on the web. A way of reducing polarization would…

Social and Information Networks · Computer Science 2022-07-11 Jordan K Kobellarz , Milos Brocic , Alexandre R Graeml , Daniel Silver , Thiago H Silva

Search systems in online social media sites are frequently used to find information about ongoing events and people. For topics with multiple competing perspectives, such as political events or political candidates, bias in the top ranked…

Social and Information Networks · Computer Science 2017-04-06 Juhi Kulshrestha , Motahhare Eslami , Johnnatan Messias , Muhammad Bilal Zafar , Saptarshi Ghosh , Krishna P. Gummadi , Karrie Karahalios

Polarization and echo chambers are often studied in the context of explicitly political events such as elections, and little scholarship has examined the mixing of political groups in non-political contexts. A major obstacle to studying…

Social and Information Networks · Computer Science 2022-08-12 Ahmet Kurnaz , Scott A. Hale

It has been suggested that online search and retrieval contributes to the intellectual isolation of users within their preexisting ideologies, where people's prior views are strengthened and alternative viewpoints are infrequently…

Information Retrieval · Computer Science 2014-05-08 Danai Koutra , Paul Bennett , Eric Horvitz

The flourishing of fake news is favored by recommendation algorithms of online social networks which, based on previous users activity, provide content adapted to their preferences and so create filter bubbles. We introduce an analytically…

Physics and Society · Physics 2020-10-28 Giordano De Marzo , Andrea Zaccaria , Claudio Castellano

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

The hypothesis of selective exposure assumes that people seek out information that supports their views and eschew information that conflicts with their beliefs, and that has negative consequences on our society. Few researchers have…

Social and Information Networks · Computer Science 2014-09-26 Jisun An , Daniele Quercia , Jon Crowcroft

Social media has brought a revolution on how people are consuming news. Beyond the undoubtedly large number of advantages brought by social-media platforms, a point of criticism has been the creation of echo chambers and filter bubbles,…

Social and Information Networks · Computer Science 2018-01-08 Kiran Garimella , Aristides Gionis , Nikos Parotsidis , Nikolaj Tatti

Homophily -- our tendency to surround ourselves with others who share our perspectives and opinions about the world -- is both a part of human nature and an organizing principle underpinning many of our digital social networks. However,…

Computers and Society · Computer Science 2021-10-13 Nabeel Gillani , Ann Yuan , Martin Saveski , Soroush Vosoughi , Deb Roy

Echoing the history of search engines and social media content rankings, the advent of large language models (LLMs) has led to a push for increased personalization of model outputs to individual users. In the past, personalized…

Computers and Society · Computer Science 2023-11-28 Tomo Lazovich

In this work, we propose a content-based recommendation approach to increase exposure to opposing beliefs and opinions. Our aim is to help provide users with more diverse viewpoints on issues, which are discussed in partisan groups from…

Information Retrieval · Computer Science 2018-09-12 Elisabeth Lex , Mario Wagner , Dominik Kowald

Information is transmitted through websites, and immediate reactions to various kinds of information are required. Hence, efforts by users to select information themselves have increased, which is fueling further improvements in…

Information Retrieval · Computer Science 2018-07-18 Atom Sonoda , Fujio Toriumi , Hiroto Nakajima , Miyabi Gouji

Polarization is a growing, global problem. As such, many social media based solutions have been proposed in order to reduce it. In this study, we propose a new solution that recommends topics to celebrities to encourage them to join a…

Social and Information Networks · Computer Science 2021-08-25 Tuğrulcan Elmas , Kristina Hardi , Rebekah Overdorf , Karl Aberer

Recommender systems shape online interactions by matching users with creators content to maximize engagement. Creators, in turn, adapt their content to align with users preferences and enhance their popularity. At the same time, users…

Information Retrieval · Computer Science 2026-01-07 Lukas Schüepp , Carmen Amo Alonso , Florian Dörfler , Giulia De Pasquale

The term filter bubble has been coined to describe the situation of online users which---due to filtering algorithms---live in a personalised information universe biased towards their own interests.In this paper we use an agent-based…

Social and Information Networks · Computer Science 2017-01-01 Thomas Gottron , Felix Schwagereit

Users online tend to join polarized groups of like-minded peers around shared narratives, forming echo chambers. The echo chamber effect and opinion polarization may be driven by several factors including human biases in information…

Social and Information Networks · Computer Science 2023-05-15 Carlo Michele Valensise , Matteo Cinelli , Walter Quattrociocchi

In the age of information abundance, attention is a coveted resource. Social media platforms vigorously compete for users' engagement, influencing the evolution of their opinions on a variety of topics. With recommendation algorithms often…

Physics and Society · Physics 2023-10-30 Andrea Somazzi , Giuseppe Maria Ferro , Diego Garlaschelli , Simon Asher Levin

Research across different disciplines has documented the expanding polarization in social media. However, much of it focused on the US political system or its culturally controversial topics. In this work, we explore polarization on Twitter…

Social and Information Networks · Computer Science 2021-04-13 Ramon Villa-Cox , Helen , Zeng , Ashiqur R. KhudaBukhsh , Kathleen M. Carley

The intensification of affective polarization worldwide has raised new questions about how social media platforms might be further fracturing an already-divided public sphere. As opposed to ideological polarization, affective polarization…

Social and Information Networks · Computer Science 2021-10-13 Martin Saveski , Nabeel Gillani , Ann Yuan , Prashanth Vijayaraghavan , Deb Roy

Even though the Internet and social media have increased the amount of news and information people can consume, most users are only exposed to content that reinforces their positions and isolates them from other ideological communities.…

Social and Information Networks · Computer Science 2021-12-21 Federico Albanese , Leandro Lombardi , Esteban Feuerstein , Pablo Balenzuela