This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias


연구 분야: Analysis



학회: HT '21: Proceedings of the 32nd ACM Conference on Hypertext and Social Media


초록

During online information search, users tend to select search results that confirm previous beliefs and ignore competing possibilities. This systematic pattern in human behavior is known as confirmation bias. In this paper, we study the effect of obfuscation (i.e., hiding the result unless the user clicks on it) with warning labels and the effect of task on interaction with attitude-confirming search results. We conducted a preregistered, between-subjects crowdsourced user study (N=328) comparing six groups: three levels of obfuscation (targeted, random, none) and two levels of task (joint, two separate) for four debated topics. We found that both types of obfuscation influence user interactions, and in particular that targeted obfuscation helps decrease interaction with attitude-confirming search results. Future work is needed to understand how much of the observed effect is due to the strong influence of obfuscation, versus the warning label or the task design. We discuss design guidelines concerning system goals such as decreasing consumption of attitude-confirming search results, versus nudging users toward a more analytical mode of information processing. We also discuss implications for future work, such as the effects of interventions for confirmation bias mitigation over repeated exposure. We conclude with a strong word of caution: measures such as obfuscations should only be used for the benefit of the user, e.g., when they explicitly consent to mitigating their own biases.


Author Profile
Alisa Rieger

Delft University of Technology Delft Netherlands

Netherlands
Author Profile
Tim Draws

Delft University of Technology Delft Netherlands

Netherlands
Author Profile
Mariët Theune

University of Twente Enschede Netherlands

Netherlands

📄 논문 정보

발행 연도 2021년
인용수 42
출판 국가 Netherlands
사이트 ACM
좋아요 수 0

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