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A Polarization Approach for Understanding Online Conflicts in Times of Pandemic: A Brazilian Case Study

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Item Summary Kamienski, Carlos Mazim, Lucas Penteado, Claudio Goya, Denise Di Genova, Daniel De Franca, Fabricio Ramos, Diogo Horita, Flávio 2020-12-24T19:25:28Z 2020-12-24T19:25:28Z 2021-01-05
dc.identifier.isbn 978-0-9981331-4-0
dc.description.abstract As society becomes digitalized, online social networks tend to be primary places for debate but can turn into a battlefield for imposing conflicting narratives. Automating the identification of online conflicts is a challenge due to difficulties in defining antagonist communities and controversial discussions. Here, we propose a polarization approach for understanding Twitter conflicts in Brazil during the COVID-19 pandemic, where a small group of polarizers influences a larger group of polarizees according to their ideological leaning. Polarizers are automatically identified by centrality metrics in following, retweet, and reply networks, and manually labeled as leftists, rightists, or undefined. We collected and analyzed the polarization of 21 potentially conflicted political events in Brazil. Our results show that polarizers adequately represent the polarization of events, the traditional media is giving way to a new breed of tweeters, and retweet and reply play different roles within a conflict that reflects their polarization level.
dc.format.extent 10 pages
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Digital Society
dc.subject covid-19
dc.subject digital society
dc.subject online conflict
dc.subject polarization
dc.subject twitter
dc.title A Polarization Approach for Understanding Online Conflicts in Times of Pandemic: A Brazilian Case Study
dc.identifier.doi 10.24251/HICSS.2021.259
prism.startingpage 2101
Appears in Collections: Digital Society

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