Characterizing political bias and comments associated with news on Brazilian Facebook

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...

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Published inSocial 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
LanguageEnglish
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
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Abstract 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 group acting in bad faith. Their actions can even provoke different kinds of hateful responses from their audience, in the form of toxic comments. Therefore, identifying and characterizing all the news pages that play a vital role in information dissemination is essential for understanding this media ecosystem in a country. This work provides a detailed diagnostic of news stories and political opinions shared on Facebook, focusing on Brazilian pages. We present as main contributions: (1) a methodology to identify and measure the political bias of Facebook pages for a given country and (2) an in-depth characterization of the political bias, audience demographics, reactions in posts, and toxicity of the comments of a sample of mainstream media, alternative media, and public figures.
AbstractList 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 group acting in bad faith. Their actions can even provoke different kinds of hateful responses from their audience, in the form of toxic comments. Therefore, identifying and characterizing all the news pages that play a vital role in information dissemination is essential for understanding this media ecosystem in a country. This work provides a detailed diagnostic of news stories and political opinions shared on Facebook, focusing on Brazilian pages. We present as main contributions: (1) a methodology to identify and measure the political bias of Facebook pages for a given country and (2) an in-depth characterization of the political bias, audience demographics, reactions in posts, and toxicity of the comments of a sample of mainstream media, alternative media, and public figures.
ArticleNumber 94
Author Benevenuto, Fabrício
Vasconcelos, Marisa
Reis, Julio C. S.
Guimarães, Samuel S.
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The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021.
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Keywords Alternative media
Social computing
News ecosystem
Toxicity
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Political bias
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Snippet Social media sites became an important channel to consume information, including news articles. In this context, there are a growing number of outlets that...
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SubjectTerms 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
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Title Characterizing political bias and comments associated with news on Brazilian Facebook
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