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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.
Fake News Detection on Social Media: A Data Mining Perspective
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Echo Chambers Exist!(But They’re Full of Opposing Views)
Bright, J.; Marchal, N.; Ganesh, B.; and Rudinac, S. 2020 · 2001
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Birds of a feather: Homophily in social networks
McPherson, M.; Smith-Lovin, L.; and Cook, J. M. 2001 · 2001
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Shi, L.; and Chen, B. 2020 · 2005
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Political paranoia v. political realism: On distinguishing between bogus conspiracy theories and genuine conspiratorial politics
Bale, J. M. 2007 · 2007
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Influence: The psychology of persuasion , volume 55
Cialdini, R. B.; and Cialdini, R. B. 2007 · 2007
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The Fox News effect: Media bias and voting
DellaVigna, S.; and Kaplan, E. 2007 · 2007
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Wu, F.; and Huberman, B. A. 2007 · 2007
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Blondel, V. D.; Guillaume, J.-L.; Lambiotte, R.; and Lefebvre, E. 2008 · 2008
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Fiorina, M. P.; and Abrams, S. J. 2008 · 2008
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Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study
Fowler, J. H.; and Christakis, N. A. 2008 · 2008
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Echo chamber: Rush Limbaugh and the conservative media establishment
Jamieson, K. H.; and Cappella, J. N. 2008 · 2008
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Twittermonitor: trend detection over the twitter stream
Mathioudakis, M.; and Koudas, N. 2010 · 2010
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Trends in social media: Persistence and decay
Asur, S.; Huberman, B. A.; Szabo, G.; and Wang, C. 2011 · 2011
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MM-COVID: A multilingual and multimodal data repository for combating COVID-19 disinformation
Li, Y.; Jiang, B.; Shu, K.; and Liu, H. 2020 · 2011
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The filter bubble: How the new personalized web is changing what we read and how we think
Pariser, E. 2011 · 2011
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Influence and passivity in social media
Romero, D. M.; Galuba, W.; Asur, S.; and Huberman, B. A. 2011 · 2011
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Social network determinants of depression
Rosenquist, J. N.; Fowler, J. H.; and Christakis, N. A. 2011 · 2011
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Biased assimilation, homophily, and the dynamics of polarization
Dandekar, P.; Goel, A.; and Lee, D. T. 2013 · 2013
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Measuring Personalization of Web Search
Hannak, A.; Sapiezynski, P.; Molavi Kakhki, A.; Krishnamurthy, B.; Lazer, D.; Mislove, A.; and Wilson, C. 2013 · 2013
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Efficient estimation of word representations in vector space
Mikolov, T.; Chen, K.; Corrado, G.; and Dean, J. 2013 · 2013
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Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Cho, K.; van Merrienboer, B.; Gülçehre, Ç.; Bougares, F.; Schwenk, H.; and Bengio, Y. 2014 · 2014
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Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data
Colleoni, E.; Rozza, A.; and Arvidsson, A. 2014 · 2014
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Experimental evidence of massive-scale emotional contagion through social networks
Kramer, A. D.; Guillory, J. E.; and Hancock, J. T. 2014 · 2014
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Distributed Representations of Sentences and Documents
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The psychology of eating animals
Loughnan, S.; Bastian, B.; and Haslam, N. 2014 · 2014
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Glove: Global vectors for word representation
Pennington, J.; Socher, R.; and Manning, C. D. 2014 · 2014
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Zafarani, R.; Abbasi, M. A.; and Liu, H. 2014 · 2014
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Exposure to ideologically diverse news and opinion on Facebook
Bakshy, E.; Messing, S.; and Adamic, L. A. 2015 · 2015
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Tweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber?
Barberá, P.; Jost, J. T.; Nagler, J.; Tucker, J. A.; and Bonneau, R. 2015 · 2015
Cited alongside, same era.
Vaccine hesitancy, vaccine refusal and the anti-vaccine movement: influence, impact and implications
Dubé, E.; Vivion, M.; and MacDonald, N. E. 2015 · 2015
Cited alongside, same era.
An empirical examination of echo chambers in US climate policy networks
Jasny, L.; Waggle, J.; and Fisher, D. R. 2015 · 2015
Cited alongside, same era.
From word embeddings to document distances
Kusner, M.; Sun, Y.; Kolkin, N.; and Weinberger, K. 2015 · 2015
Cited alongside, same era.
Measuring political polarization: Twitter shows the two sides of Venezuela
Morales, A. J.; Borondo, J.; Losada, J. C.; and Benito, R. M. 2015 · 2015
Cited alongside, same era.
A political and social history of HIV in South Africa
Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations
Kumar, S.; and Carley, K. 2019 · 2019
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Echo Chambers and Their Effects on Economic and Political Outcomes
Levy, G.; and Razin, R. 2019 · 2019
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Endogenetic structure of filter bubble in social networks
Min, Y.; Jiang, T.; Jin, C.; Li, Q.; and Jin, X. 2019 · 2019
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Segregation and polarization in urban areas
Morales, A. J.; Dong, X.; Bar-Yam, Y.; and ‘Sandy’Pentland, A. 2019 · 2019
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The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings
Pennycook, G.; Bear, A.; Collins, E. T.; and Rand, D. G. 2020a · 2019
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Simelela, N.; Venter, W. F.; Pillay, Y.; and Barron, P. 2015 · 2015
Cited alongside, same era.
Personality traits and echo chambers on facebook
Bessi, A. 2016 · 2016
Cited alongside, same era.
Users polarization on Facebook and Youtube
Bessi, A.; Zollo, F.; Del Vicario, M.; Puliga, M.; Scala, A.; Caldarelli, G.; Uzzi, B.; and Quattrociocchi, W. 2016 · 2016
Cited alongside, same era.
Facebook in the news: Social media, journalism, and public responsibility following the 2016 trending topics controversy
Carlson, M. 2018 · 2016
Cited alongside, same era.
The Echo Chamber Effect in Twitter: does community polarization increase?
Du, S.; and Gregory, S. 2016 · 2016
Cited alongside, same era.
Heat kernel based community detection
Kloster, K.; and Gleich, D. F. 2016 · 2016
Cited alongside, same era.
Community detection and stochastic block models: recent developments
Abbe, E. 2017 · 2017
Cited alongside, same era.
Pennycook, G.; and Rand, D. G. 2019 · 2019
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Fighting fire with fire: Using antidote data to improve polarization and fairness of recommender systems
Rastegarpanah, B.; Gummadi, K. P.; and Crovella, M. 2019 · 2019
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Combating Fake News: A Survey on Identification and Mitigation Techniques
Sharma, K.; Qian, F.; Jiang, H.; Ruchansky, N.; Zhang, M.; and Liu, Y. 2019 · 2019
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Detecting fake news on social media
Shu, K.; and Liu, H. 2019 · 2019
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The echo chamber of anti-vaccination conspiracies: mechanisms of radicalization on Facebook and Reddit
Van Raemdonck, N. 2019 · 2019
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Anger, fear, and echo chambers: The emotional basis for online behavior
Wollebæk, D.; Karlsen, R.; Steen-Johnsen, K.; and Enjolras, B. 2019 · 2019
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Fake news, fast and slow: Deliberation reduces belief in false (but not true) news headlines
Bago, B.; Rand, D. G.; and Pennycook, G. 2020 · 2020
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The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media
Bridgman, A.; Merkley, E.; Loewen, P. J.; Owen, T.; Ruths, D.; Teichmann, L.; and Zhilin, O. 2020 · 2020
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Analyzing the Impact of Filter Bubbles on Social Network Polarization
Chitra, U.; and Musco, C. 2020 · 2020
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Rumor Propagation is Amplified by Echo Chambers in Social Media
Choi, D.; Chun, S.; Oh, H.; Han, J.; et al. 2020 · 2020
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Falling into the echo chamber: the Italian vaccination debate on Twitter
Cossard, A.; Morales, G. D. F.; Kalimeri, K.; Mejova, Y.; Paolotti, D.; and Starnini, M. 2020 · 2020
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Understanding Echo Chambers in E-Commerce Recommender Systems
Ge, Y.; Zhao, S.; Zhou, H.; Pei, C.; Sun, F.; Ou, W.; and Zhang, Y. 2020 · 2020
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Information and Disinformation: Social Media in the COVID-19 Crisis
Gottlieb, M.; and Dyer, S. 2020 · 2020
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Health disinformation & social media: The crucial role of information hygiene in mitigating conspiracy theory and infodemics
Grimes, D. R. 2020 · 2020
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Beyond Fact-Checking: Network Analysis Tools for Monitoring Disinformation in Social Media
Guarino, S.; Trino, N.; Chessa, A.; and Riotta, G. 2020 · 2020
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Towards Quantifying the Distance between Opinions
Gurukar, S.; Ajwani, D.; Dutta, S.; Lauri, J.; Parthasarathy, S.; and Sala, A. 2020 · 2020
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An mRNA vaccine against SARS-CoV-2—preliminary report
Jackson, L. A.; Anderson, E. J.; Rouphael, N. G.; Roberts, P. C.; Makhene, M.; Coler, R. N.; McCullough, M. P.; Chappell, J. D.; Denison, M. R.; Stevens, L. J.; et al. 2020 · 2020
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Herd immunity–estimating the level required to halt the COVID-19 epidemics in affected countries
Kwok, K. O.; Lai, F.; Wei, W. I.; Wong, S. Y. S.; and Tang, J. W. 2020 · 2020
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¡? covid19?¿ COVID-19, 5G conspiracies and infrastructural futures
Meese, J.; Frith, J.; and Wilken, R. 2020 · 2020
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Out of the Echo Chamber: Detecting Countering Debate Speeches
Orbach, M.; Bilu, Y.; Toledo, A.; Lahav, D.; Jacovi, M.; Aharonov, R.; and Slonim, N. 2020 · 2020
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Patterns of Media Use, Strength of Belief in COVID-19 Conspiracy Theories, and the Prevention of COVID-19 From March to July 2020 in the United States: Survey Study
Romer, D.; and Jamieson, K. H. 2021 · 2020
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Tackling threats to informed decision-making in democratic societies: Promoting epistemic security in a technologically-advanced world URL https://www.turing.ac.uk/research/publications/tackling-threats-informed-decision-making-democratic-societies
Seger, E.; Avin, S.; Pearson, G.; Briers, M.; Ó Heigeartaigh, S.; and Bacon, H. 2020 · 2020
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News Use Across Social Media Platforms in 2020 URL https://www.journalism.org/2021/01/12/news-use-across-social-media-platforms-in-2020/
Shearer, E.; and Mitchell, A. 2021 · 2020
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Combating disinformation in a social media age
Shu, K.; Bhattacharjee, A.; Alatawi, F.; Nazer, T. H.; Ding, K.; Karami, M.; and Liu, H. 2020 · 2020
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Age, gender, personality, ideological attitudes and individual differences in a person’s news spectrum: how many and who might be prone to “filter bubbles” and “echo chambers” online?
Sindermann, C.; Elhai, J. D.; Moshagen, M.; and Montag, C. 2020 · 2020
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Echo Chamber Effects in the Climate Change Blogosphere
van Eck, C. W.; Mulder, B. C.; and van der Linden, S. 2021 · 2020
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A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
Zhou, X.; and Zafarani, R. 2020 · 2020
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Breaking the Social Media Prism
Bail, C. 2021 · 2021
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The echo chamber effect on social media
Cinelli, M.; De Francisci Morales, G.; Galeazzi, A.; Quattrociocchi, W.; and Starnini, M. 2021 · 2021
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The anti-vaccination infodemic on social media: A behavioral analysis
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Mechanisms and Attributes of Echo Chambers in Social Media
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Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors
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Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA
Loomba, S.; de Figueiredo, A.; Piatek, S. J.; de Graaf, K.; and Larson, H. J. 2021 · 2021
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COVID-19: breaking down a global health crisis
Mallah, S. I.; Ghorab, O. K.; Al-Salmi, S.; Abdellatif, O. S.; Tharmaratnam, T.; Iskandar, M. A.; Sefen, J. A. N.; Sidhu, P.; Atallah, B.; El-Lababidi, R.; and Al-Qahtani, M. 2021 · 2021
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Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality, Partisan, and Toxic Content in a Twitter Field Experiment
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