Assessing Susceptibility Factors of Confirmation Bias in News Feed Reading
Nattapat Boonprakong (University of Melbourne)
Saumya Pareek (University of Melbourne)
Benjamin Tag (University of New South Wales)
Jorge Gonçalves (University of Melbourne)
Tilman Dingler (TU Delft - Human-Centred Artificial Intelligence)
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Abstract
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.
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