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Preference-inconsistent recommendations: An effective approach for reducing confirmation bias and stimulating divergent thinking?
ARTICLE

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Computers & Education Volume 58, Number 2, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

The Web is a perfect backdrop for opinion formation as a multitude of different opinions is publicly available. However, the different opinions often remain unexploited: Learners prefer preference-consistent over preference-inconsistent information, a phenomenon called confirmation bias. Two experiments were designed to test whether technologies such as recommender systems can be used to overcome this bias. The role of preference-inconsistent recommendations was explored by comparing their influence to a condition with preference-consistent recommendations and to a control condition without recommendations. In Study 1, preference-inconsistent recommendations led to a reduction of confirmation bias and to a more moderate view of the controversial topic of neuro-enhancement. In Study 2, we found that preference-inconsistent recommendations stimulated balanced recall and divergent thinking. Together these studies showed that preference-inconsistent recommendations are an effective approach for reducing confirmation bias and stimulating divergent thinking. In conclusion, future research and practical implications are discussed.

Citation

Schwind, C., Buder, J., Cress, U. & Hesse, F.W. (2012). Preference-inconsistent recommendations: An effective approach for reducing confirmation bias and stimulating divergent thinking?. Computers & Education, 58(2), 787-796. Elsevier Ltd. Retrieved September 30, 2020 from .

This record was imported from Computers & Education on January 30, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2011.10.003

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