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The Impact of Increasing and Decreasing the Professionalism of News Webpage Aesthetics on the Perception of Bias in News Articles

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Human-Computer Interaction. Design and User Experience (HCII 2020)

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Abstract

This paper reports further results from a large study examining the impact of the visual aesthetics of news websites on the perception of bias in news articles. It focuses on the characteristic of professionalism, which is of particular importance to mainstream news websites. Nine news articles were amended to create a range of biased content. They were then paired with webpages from nine popular news websites which underwent common cumulative distortions to degrade the professionalism of their aesthetics. Pre-tests confirmed the effectiveness of these processes. A crowdsourced experiment and ANOVA analysis (N = 405, \(\alpha \) = 0.05, ES = 0.24) demonstrated a negative correlation between the professionalism of the aesthetics and perceptions of bias. These effects were common across all nine news websites and news articles with different levels of bias.

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Notes

  1. 1.

    theguardian.com, telegraph.co.uk, independent.co.uk, economist.com, spectator.co.uk, newstatesman.com, aljazeera.com, bbc.com, and reuters.com.

  2. 2.

    www.prolific.co.

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Acknowledgements

This research was conducted with the financial support of Science Foundation Ireland under Grant Agreement No. 13/RC/2106 at the ADAPT SFI Research Centre at Trinity College Dublin. The ADAPT SFI Centre for Digital Media Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) through Grant Number 13/RC/2106.

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Correspondence to Brendan Spillane .

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This paper is dedicated to the memory of Professor Séamus “Shay” Lawless who died after fulfilling his dream of summiting Mount Everest on May 16$$^{th}$$ 2019.

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Spillane, B., Lawless, S., Wade, V. (2020). The Impact of Increasing and Decreasing the Professionalism of News Webpage Aesthetics on the Perception of Bias in News Articles. In: Kurosu, M. (eds) Human-Computer Interaction. Design and User Experience. HCII 2020. Lecture Notes in Computer Science(), vol 12181. Springer, Cham. https://doi.org/10.1007/978-3-030-49059-1_50

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