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Related papers: Optimal Echo Chambers

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We study rationally inattentive echo chambers, where players allocate limited attention to biased primary sources and to other players as secondary sources to acquire information about an uncertain state. The resulting Poisson attention…

Theoretical Economics · Economics 2025-09-03 Lin Hu , Anqi Li , Xu Tan

The theory of echo chambers, which suggests that online political discussions take place in conditions of ideological homogeneity, has recently gained popularity as an explanation for patterns of political polarization and radicalization…

Social and Information Networks · Computer Science 2020-01-31 Jonathan Bright , Nahema Marchal , Bharath Ganesh , Stevan Rudinac

In the era of social media, people frequently share their own opinions online on various issues and also in the way, get exposed to others' opinions. Be it for selective exposure of news feed recommendation algorithms or our own inclination…

Social and Information Networks · Computer Science 2023-04-24 Prithwish Jana , Romit Roy Choudhury , Niloy Ganguly

Echo chambers on social media are a significant problem that can elicit a number of negative consequences, most recently affecting the response to COVID-19. Echo chambers promote conspiracy theories about the virus and are found to be…

Social and Information Networks · Computer Science 2021-12-10 Faisal Alatawi , Lu Cheng , Anique Tahir , Mansooreh Karami , Bohan Jiang , Tyler Black , Huan Liu

Online social platforms have become central in the political debate. In this context, the existence of echo chambers is a problem of primary relevance. These clusters of like-minded individuals tend to reinforce prior beliefs, elicit…

Social and Information Networks · Computer Science 2023-02-03 Antoine Vendeville , Anastasios Giovanidis , Effrosyni Papanastasiou , Benjamin Guedj

Neural networks often learn spurious correlations when exposed to biased training data, leading to poor performance on out-of-distribution data. A biased dataset can be divided, according to biased features, into bias-aligned samples (i.e.,…

Machine Learning · Computer Science 2023-08-17 Rui Hu , Yahan Tu , Jitao Sang

We consider a decision maker (DM) who, before taking an action, seeks information by allocating her limited attention dynamically over different news sources that are biased toward alternative actions. Endogenous choice of information…

Optimization and Control · Mathematics 2019-01-07 Yeon-Koo Che , Konrad Mierendorff

Echo chambers may exclude social media users from being exposed to other opinions, therefore, can cause rampant negative effects. Among abundant evidence are the 2016 and 2020 US presidential elections conspiracy theories and polarization,…

Social and Information Networks · Computer Science 2021-08-13 Bohan Jiang , Mansooreh Karami , Lu Cheng , Tyler Black , Huan Liu

Despite echo chambers in social media have been under considerable scrutiny, general models for their detection and analysis are missing. In this work, we aim to fill this gap by proposing a probabilistic generative model that explains…

Social and Information Networks · Computer Science 2022-08-10 Marco Minici , Federico Cinus , Corrado Monti , Francesco Bonchi , Giuseppe Manco

An educated and informed consumption of media content has become a challenge in modern times. With the shift from traditional news outlets to social media and similar venues, a major concern is that readers are becoming encapsulated in…

Computation and Language · Computer Science 2020-05-05 Matan Orbach , Yonatan Bilu , Assaf Toledo , Dan Lahav , Michal Jacovi , Ranit Aharonov , Noam Slonim

The landscape of information has experienced significant transformations with the rapid expansion of the internet and the emergence of online social networks. Initially, there was optimism that these platforms would encourage a culture of…

Social and Information Networks · Computer Science 2023-09-27 Mathias-Felipe de-Lima-Santos , Wilson Ceron

While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as "echo chambers." Here we study…

Computers and Society · Computer Science 2026-05-19 Kazutoshi Sasahara , Wen Chen , Hao Peng , Giovanni Luca Ciampaglia , Alessandro Flammini , Filippo Menczer

Recent studies have shown that online users tend to select information adhering to their system of beliefs, ignore information that does not, and join groups - i.e., echo chambers - around a shared narrative. Although a quantitative…

Echo chamber effects in social networks are generally attributed to the prevalence of interactions among like-minded peers. However, recent evidence has emphasized the role of hostile interactions between opposite-minded groups. We…

Physics and Society · Physics 2025-02-06 Antoine Vendeville , Fernando Diaz-Diaz

I study how strategic communication among voters shapes both political outcomes and parties' advertising strategies in a model of informative campaign advertising. Two main results are derived. First, echo chambers arise endogenously.…

Theoretical Economics · Economics 2021-04-13 Monica Anna Giovanniello

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

Personalized recommendation benefits users in accessing contents of interests effectively. Current research on recommender systems mostly focuses on matching users with proper items based on user interests. However, significant efforts are…

Information Retrieval · Computer Science 2020-07-07 Yingqiang Ge , Shuya Zhao , Honglu Zhou , Changhua Pei , Fei Sun , Wenwu Ou , Yongfeng Zhang

Collective decision-making arises from individual agents integrating their own personal observations with information obtained from social partners. In many biological systems that exhibit collective decision-making, the process by which…

Quantitative Methods · Quantitative Biology 2026-04-28 Ling-Wei Kong , Naomi Ehrich Leonard , Andrew M. Hein

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

This systematic review synthesizes research on echo chambers and filter bubbles to explore the reasons behind dissent regarding their existence, antecedents, and effects. It provides a taxonomy of conceptualizations and operationalizations,…

Social and Information Networks · Computer Science 2025-02-19 David Hartmann , Sonja Mei Wang , Lena Pohlmann , Bettina Berendt
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