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Improving Journalism through the Web: Framework for Media Bias Mitigation

Park, Souneil and Ko, Minsam and Liu, Ying and Jin, Dal Yong and Song, Junehwa (2011) Improving Journalism through the Web: Framework for Media Bias Mitigation. pp. 1-3. In: Proceedings of the ACM WebSci'11, June 14-17 2011, Koblenz, Germany.

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Official URL: http://www.websci11.org/fileadmin/websci/Posters/88_paper.pdf

Abstract

In this paper, we present our multidisciplinary research on a major problem of journalism, i.e., the media bias problem. Bias in the news media often causes a sharp increase in political polarization and in the cost of conflict on social issues such as the Iraq war. Bias in news articles is much complex than explicit expression of opinion or sentiments. It is difficult, if not impossible, for readers to have penetrating views on realities against such bias. While the problem has been extensively studied in the area of mass communication and journalism, effective solutions are barely developed. We investigate the media bias problem from a computational perspective and propose a practical solution.

Item Type:Conference or Workshop Item (Poster)
Web Science Comments:WebSci Conference 2011
Subjects:WS1 Computer Science
WSB Socio-cultural
Web Science Events > Web Science 2011
ID Code:531
Deposited By: Lisa Sugiura
Deposited On:07 Jun 2011 16:42
Last Modified:25 Oct 2011 17:11

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