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Measuring Bias in News Websites, Towards a Model for Personalization

Published:09 July 2017Publication History

ABSTRACT

This poster briefly elucidates on a crowdsourced exploratory study demonstrating the impact of common features of news websites' design on perceived bias. Type of news website, user characteristics, and the overall design, were shown to impact on perceived bias. The poster also reports the results of a novel method to validate and extend the initial results through comparative reevaluation. These confirmed the initial results and revealed additional significant findings. Lastly, the paper proposes a model of bias for personalizing news websites.

References

  1. Judit Bar-Ilan, Kevin Keenoy, Mark Levene, and Eti Yaari. 2009. Presentation bias is significant in determining user preference for search results--A user study. Journal of the American Society for Information Science and Technology 60, 1: 135--149. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. B. J. Fogg, Jonathan Marshall, Othman Laraki, Alex Osipovich, Chris Varma, Nicholas Fang, Jyoti Paul, Akshay Rangnekar, John Shon, Preeti Swani, and Marissa Treinen. 2001. What makes Web sites credible?: a report on a large quantitative study. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '01), 61--68. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Tim Groeling. 2013. Media Bias by the Numbers: Challenges and Opportunities in the Empirical Study of Partisan News. Annual Review of Political Science 16, 1: 129--151.Google ScholarGoogle ScholarCross RefCross Ref
  4. David Robins and Jason Holmes. 2008. Aesthetics and credibility in web site design. Information Processing & Management 44, 1: 386--399. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Neil Thurman and Steve Schifferes. 2012. The Future of Personalization at News Websites. Journalism Studies 13, 5--6: 775--790.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Measuring Bias in News Websites, Towards a Model for Personalization

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        • Published in

          cover image ACM Conferences
          UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
          July 2017
          420 pages
          ISBN:9781450346351
          DOI:10.1145/3079628
          • General Chairs:
          • Maria Bielikova,
          • Eelco Herder,
          • Program Chairs:
          • Federica Cena,
          • Michel Desmarais

          Copyright © 2017 Owner/Author

          Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 9 July 2017

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          • extended-abstract

          Acceptance Rates

          UMAP '17 Paper Acceptance Rate29of80submissions,36%Overall Acceptance Rate162of633submissions,26%

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