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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

Recent studies suggest that social media usage -- while linked to an increased diversity of information and perspectives for users -- has exacerbated user polarization on many issues. A popular theory for this phenomenon centers on the…

Social and Information Networks · Computer Science 2019-06-21 Uthsav Chitra , Christopher Musco

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

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 quickly become a prevalent channel to access information, spread ideas, and influence opinions. However, it has been suggested that social and algorithmic filtering may cause exposure to less diverse points of view, and…

Social and Information Networks · Computer Science 2015-10-30 Dimitar Nikolov , Diego F. M. Oliveira , Alessandro Flammini , Filippo Menczer

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

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

This paper presents an interdisciplinary approach to analyze the emergence and impact of filter bubbles in social phenomena, especially in both digital and offline environments, by applying the concepts of quantum field theory. Filter…

Physics and Society · Physics 2024-04-30 Yasuko Kawahata

Filter bubbles have been studied extensively within the context of online content platforms due to their potential to cause undesirable outcomes such as user dissatisfaction or polarization. With the rise of short-video platforms, the…

Artificial Intelligence · Computer Science 2024-03-08 Nicholas Sukiennik , Chen Gao , Nian Li

Recommender systems can be found everywhere today, shaping our everyday experience whenever we're consuming content, ordering food, buying groceries online, or even just reading the news. Let's imagine we're in the process of building a…

Information Retrieval · Computer Science 2025-07-17 Cécile Logé

The negative effects of misinformation filter bubbles in adaptive systems have been known to researchers for some time. Several studies investigated, most prominently on YouTube, how fast a user can get into a misinformation filter bubble…

Recommender systems, which offer personalized suggestions to users, power many of today's social media, e-commerce and entertainment. However, these systems have been known to intellectually isolate users from a variety of perspectives, or…

Machine Learning · Computer Science 2022-09-20 Vivek Anand , Matthew Yang , Zhanzhan Zhao

Machine learning is used extensively in recommender systems deployed in products. The decisions made by these systems can influence user beliefs and preferences which in turn affect the feedback the learning system receives - thus creating…

Machine Learning · Statistics 2019-03-28 Ray Jiang , Silvia Chiappa , Tor Lattimore , András György , Pushmeet Kohli

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

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

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

When learning from others, people tend to focus their attention on those with similar views. This is often attributed to flawed reasoning, and thought to slow learning and polarize beliefs. However, we show that echo chambers are a rational…

Theoretical Economics · Economics 2025-06-10 Gabriel Martinez , Nicholas H. Tenev

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

Since this century, the speed, availability, and plethora of online informational content have made it increasingly difficult for humans to keep an overview of real-world situations, build a personal opinion, and sometimes even decide on…

Human-Computer Interaction · Computer Science 2025-04-15 Florian Bemmann , Doruntina Murtezaj

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
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