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Polarization arises when the underlying network connecting the members of a community or society becomes characterized by highly connected groups with weak inter-group connectivity. The increasing polarization, the strengthening of echo…

Social and Information Networks · Computer Science 2023-04-06 Ruben Interian , Ruslan G. Marzo , Isela Mendoza , Celso C. Ribeiro

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

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

Priority users (e.g., verified profiles on Twitter) are social media users whose content is promoted by recommendation algorithms. However, the impact of this heterogeneous user influence on opinion dynamics, such as polarization phenomena,…

Social and Information Networks · Computer Science 2023-12-18 Henrique F. de Arruda , Kleber A. Oliveira , Yamir Moreno

Ideologically homogeneous online environments - often described as "echo chambers" or "filter bubbles" - are widely seen as drivers of polarization, radicalization, and misinformation. A central debate asks whether such homophily stems…

Social and Information Networks · Computer Science 2025-08-15 Petter Törnberg

A filter bubble refers to the phenomenon where Internet customization effectively isolates individuals from diverse opinions or materials, resulting in their exposure to only a select set of content. This can lead to the reinforcement of…

Information Retrieval · Computer Science 2023-07-06 Qazi Mohammad Areeb , Mohammad Nadeem , Shahab Saquib Sohail , Raza Imam , Faiyaz Doctor , Yassine Himeur , Amir Hussain , Abbes Amira

The proliferation of social media platforms, recommender systems, and their joint societal impacts have prompted significant interest in opinion formation and evolution within social networks. We study how local edge dynamics can drive…

Social and Information Networks · Computer Science 2022-12-12 Nikita Bhalla , Adam Lechowicz , Cameron Musco

A central role in shaping the experience of users online is played by recommendation algorithms. On the one hand they help retrieving content that best suits users taste, but on the other hand they may give rise to the so called "filter…

Physics and Society · Physics 2023-11-08 Alessandro Bellina , Claudio Castellano , Paul Pineau , Giulio Iannelli , Giordano De Marzo

Social media influence online activity by recommending to users content strongly correlated with what they have preferred in the past. In this way they constrain users within filter bubbles that strongly limit their exposure to new or…

Physics and Society · Physics 2022-04-08 Giulio Iannelli , Giordano De Marzo , Claudio Castellano

On social networks, algorithmic personalization drives users into filter bubbles where they rarely see content that deviates from their interests. We present a model for content curation and personalization that avoids filter bubbles, along…

Computers and Society · Computer Science 2023-05-25 Christian Borgs , Jennifer Chayes , Christian Ikeokwu , Ellen Vitercik

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 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

Nowadays, social media is the ground for political debate and exchange of opinions. There is a significant amount of research that suggests that social media are highly polarized. A phenomenon that is commonly observed is the echo chamber…

Social and Information Networks · Computer Science 2026-04-22 Konstantinos Mylonas , Thrasyvoulos Spyropoulos

The impact of social media on critical issues such as echo chambers needs to be addressed, as these phenomena can have disruptive consequences for our society. Traditional research often oversimplifies emotional tendencies and opinion…

Social and Information Networks · Computer Science 2025-03-12 Chenxi Wang , Zongfang Liu , Dequan Yang , Xiuying Chen

Online social platforms allow users to filter out content they do not like. According to selective exposure theory, people tend to view content they agree with more to get more self-assurance. This causes people to live in ideological…

Human-Computer Interaction · Computer Science 2024-03-13 Nouran Soliman , Motahhare Eslami , Karrie Karahalios

Social media have great potential to support diverse information sharing, but there is widespread concern that platforms like Twitter do not result in communication between those who hold contradictory viewpoints. Because users can choose…

Social and Information Networks · Computer Science 2017-12-12 Jesse Shore , Jiye Baek , Chrysanthos Dellarocas

Echo chambers and opinion polarization recently quantified in several sociopolitical contexts and across different social media, raise concerns on their potential impact on the spread of misinformation and on openness of debates. Despite…

Physics and Society · Physics 2020-02-28 Fabian Baumann , Philipp Lorenz-Spreen , Igor M. Sokolov , Michele Starnini

Filter bubbles and echo chambers have received global attention from scholars, media organizations, and the general public. Filter bubbles have primarily been regarded as intrinsically negative, and many studies have sought to minimize…

Social and Information Networks · Computer Science 2025-11-18 Jacob Erickson

In order to truly understand how social media might shape online discourses or contribute to societal polarization, we need refined models of platform choice, that is: models that help us understand why users prefer one social media…

Adaptation and Self-Organizing Systems · Physics 2024-11-08 Sven Banisch , Dennis Jacob , Tom Willaert , Eckehard Olbrich

In recent years, the ease with which social media can be accessed has led to the unexpected problem of a shrinkage in information sources. This phenomenon is caused by a system that facilitates the connection of people with similar ideas…

Social and Information Networks · Computer Science 2020-11-17 Naoki Hirakura , Masaki Aida , Konosuke Kawashima
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