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

dc.contributor.author Kamienski, Carlos
dc.contributor.author Mazim, Lucas
dc.contributor.author Penteado, Claudio
dc.contributor.author Goya, Denise
dc.contributor.author Di Genova, Daniel
dc.contributor.author De Franca, Fabricio
dc.contributor.author Ramos, Diogo
dc.contributor.author Horita, Flávio
dc.date.accessioned 2020-12-24T19:25:28Z
dc.date.available 2020-12-24T19:25:28Z
dc.date.issued 2021-01-05
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.identifier.doi 10.24251/HICSS.2021.259
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/70872
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.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
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
prism.startingpage 2101
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