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

dc.contributor.authorKamienski, Carlos
dc.contributor.authorMazim, Lucas
dc.contributor.authorPenteado, Claudio
dc.contributor.authorGoya, Denise
dc.contributor.authorDi Genova, Daniel
dc.contributor.authorDe Franca, Fabricio
dc.contributor.authorRamos, Diogo
dc.contributor.authorHorita, Flávio
dc.date.accessioned2020-12-24T19:25:28Z
dc.date.available2020-12-24T19:25:28Z
dc.date.issued2021-01-05
dc.description.abstractAs 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.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.259
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/70872
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital Society
dc.subjectcovid-19
dc.subjectdigital society
dc.subjectonline conflict
dc.subjectpolarization
dc.subjecttwitter
dc.titleA Polarization Approach for Understanding Online Conflicts in Times of Pandemic: A Brazilian Case Study
prism.startingpage2101

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