Characterizing political bias and comments associated with news on Brazilian Facebook

• Published in: Social network analysis and mining Vol. 11; no. 1; p. 94
• Main Authors: Guimarães, Samuel S., Reis, Julio C. S., Vasconcelos, Marisa, Benevenuto, Fabrício
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01.12.2021; Springer Nature B.V
• Subjects: Applications of Graph Theory and Complex Networks; Audiences; Bias; Computer Science; Data Mining and Knowledge Discovery; Dissemination; Economics; Ecosystems; Game Theory; Graphs; Humanities; Ideology; Information dissemination; Interest groups; Journalism; Law; Methodology of the Social Sciences; News; Original Article; Political activism; Political attitudes; Public figures; Social and Behav. Sciences; Social media; Social networks; Statistics for Social Sciences; Toxicity; Brazil; United States > US; Alternative media; Social computing; News ecosystem; Toxicity; Machine learning; Political bias

Social media sites became an important channel to consume information, including news articles. In this context, there are a growing number of outlets that present themselves as news sources. However, among these outlets, we may have people objectively presenting reliable information or a political...