#12529. Characterizing political bias and comments associated with news on Brazilian Facebook

July 2026publication date
Proposal available till 27-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Communication;
Media Technology;
Computer Science Applications;
Information Systems;
Human-Computer Interaction;
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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.
Keywords:
Alternative media; Machine learning; News ecosystem; Political bias; Social computing; Toxicity

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