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NewsCube: delivering multiple aspects of news to mitigate media bias

Published: 04 April 2009 Publication History

Abstract

The bias in the news media is an inherent flaw of the news production process. The resulting bias often causes a sharp increase in political polarization and in the cost of conflict on social issues such as Iraq war. It is very difficult, if not impossible, for readers to have penetrating views on realities against such bias. This paper presents NewsCube, a novel Internet news service aiming at mitigating the effect of media bias. NewsCube automatically creates and promptly provides readers with multiple classified viewpoints on a news event of interest. As such, it effectively helps readers understand a fact from a plural of viewpoints and formulate their own, more balanced viewpoints. While media bias problem has been studied extensively in communications and social sciences, our work is the first to develop a news service as a solution and study its effect. We discuss the effect of the service through various user studies.

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http://www.ohmynews.com

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      cover image ACM Conferences
      CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2009
      2426 pages
      ISBN:9781605582467
      DOI:10.1145/1518701
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 04 April 2009

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      Author Tags

      1. aspect-level browsing
      2. media bias
      3. news
      4. news distribution service

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      CHI '09 Paper Acceptance Rate 277 of 1,130 submissions, 25%;
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      • (2024)The Media’s Influence on Shaping Public Opinion during Martial LawJournal of Intercultural Communication10.36923/jicc.v24i4.979(146-155)Online publication date: 6-Dec-2024
      • (2024)“News has Various Shades”: Quantifying and Analyzing Media Bias at Aspect-level GranularityACM Journal on Computing and Sustainable Societies10.1145/36987972:4(1-51)Online publication date: 28-Nov-2024
      • (2024)NewsGuesser: Using Curiosity to Reduce Selective ExposureProceedings of the ACM on Human-Computer Interaction10.1145/36373768:CSCW1(1-22)Online publication date: 26-Apr-2024
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      • (2023)Methodological Middle Spaces: Addressing the Need for Methodological Innovation to Achieve Simultaneous Realism, Control, and Scalability in Experimental Studies of AI-Mediated CommunicationProceedings of the ACM on Human-Computer Interaction10.1145/35795067:CSCW1(1-28)Online publication date: 16-Apr-2023
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