Assessing Susceptibility Factors of Confirmation Bias in News Feed Reading

要旨

Individuals tend to apply preferences and beliefs as heuristics to effectively sift through the sheer amount of information available online. Such tendencies, however, often result in cognitive biases, which can skew judgment and open doors for manipulation. In this work, we investigate how individual and contextual factors lead to instances of confirmation bias when seeking, evaluating, and recalling polarising information. We conducted a lab study, in which we exposed participants to opinions on controversial issues through a Twitter-like news feed. We found that low-effortful thinking, strong political beliefs, and content conveying a strong issue amplify the occurrences of confirmation bias, leading to skewed information processing and recall. We discuss how the adverse effects of confirmation bias can be mitigated by taking bias-susceptibility into account. Specifically, social media platforms could aim to reduce strong expressions and integrate media literacy-building mechanisms, as low-effortful thinking styles and strong political beliefs render individuals especially susceptible to cognitive biases.

著者
Nattapat Boonprakong
University of Melbourne, Parkville, Victoria, Australia
Saumya Pareek
University of Melbourne, Melbourne, Victoria, Australia
Benjamin Tag
University of New South Wales, Sydney, New South Wales, Australia
Jorge Goncalves
University of Melbourne, Melbourne, Australia
Tilman Dingler
Delft University of Technology, Delft, Netherlands
DOI

10.1145/3706598.3713873

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713873

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Explainable AI

G303
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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