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      Increasing and Decreasing Perceived Bias by Distorting the Quality of News Website Design

      1 , 1 , 1

      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      Bias, Credibility, News Website Design, Personalization

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          Abstract

          News website design has previously been shown to impact perceived credibility, and one of its core dimensions and measures, bias. This paper demonstrates that by adapting the quality of the visual presentation of webpages from nine of the most popular news websites, to reflect high quality and low quality news agencies, we can predicatively increase or decrease perceived bias in the news articles they contain. This effect was common across the websites of traditional print, news magazine, and international news agencies, and across articles with different levels of bias. The distortions focused on the visual quality of a websites’ design, including the amount, size, and prominence of advertising, news article meta data, supporting material, gaudy calls to action, and the percentage of the webpage dedicated to the news article. Higher quality visual experiences reflecting quality news agencies were shown to reduce bias, while those with a low quality visual experience reflecting less professional news agencies increased bias. Significant differences were also found between low and high quality designs showing the same news articles. This paper reports results on one part of a large study on the impact of visual appearance and design on the perception of bias in online news.

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          Most cited references 57

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          The Use of Newspaper Data in the Study of Collective Action

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            A Measure of Media Bias

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              Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research

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                Author and article information

                Contributors
                Conference
                July 2018
                July 2018
                : 1-13
                Affiliations
                [1 ] ADAPT Centre, Trinity College Dublin, Ireland
                Article
                10.14236/ewic/HCI2018.61
                © Spillane et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 32nd International BCS Human Computer Interaction Conference
                HCI
                32
                Belfast, UK
                4 - 6 July 2018
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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