Visualizing media bias through Twitter

Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Therefore, tracking bias in everyday news and building a platform where people can receive balanced news information is...

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Bibliographic Details
Main Authors: AN, Jisun, CHA, Meeyoung, GUMMADI, Krishna, CROWCROFT, Jon, QUERIA, Daniele
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
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Online Access:https://ink.library.smu.edu.sg/sis_research/6284
https://ink.library.smu.edu.sg/context/sis_research/article/7287/viewcontent/14343_Article_Text_17861_1_2_20201228_pv.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Therefore, tracking bias in everyday news and building a platform where people can receive balanced news information is important. We propose a model that maps the news media sources along a dimensional dichotomous political spectrum using the co-subscriptions relationships inferred by Twitter links. By analyzing 7 million follow links, we show that the political dichotomy naturally arises on Twitter when we only consider direct media subscription. Furthermore, we demonstrate a real-time Twitter-based application that visualizes an ideological map of various media sources.