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How does search personalization challenge and/or reinforce user biases?
Search personalization involves several complex processes designed to provide users with relevant and timely information. Search engines index and curate content based on what they know about users, while users respond to search results in a variety of anticipated and surprising ways. Studying search personalization sheds light on how information-gathering via search is shaped by both technological processes and user behaviors. This project seeks to understand how different types of user data affect search curation, how users evaluate search results, and whether search personalization reinforces existing beliefs or exposes users to new information and perspectives.
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Peterson, A., High, A., Maragh-Lloyd, R., Stoldt, R., & Ekdale, B. (2022) Trust in online search results during uncertain times. Journal of Broadcasting and Electronic Media, 66(5): 751-771.
Le, H., Maragh, R., Ekdale, B., High, A., Havens, T., & Shafiq, Z. (2019) Measuring political personalization of Google news search. Proceedings of the 2019 The World Wide Web Conference (WWW 2019).