Misbeliefs and Biases in Health-Related Searches

7Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Quality of search engine results returned to health-related questions is very critical, since a searcher may directly trust any suggestion in the top results. We analyze search questions that mention diseases / symptoms and remedies that are potential health-related misbeliefs. Using lists of medical and alternative medicine terms, we extract health-related search questions from 1.5∼billion questions submitted to Yandex. As an initial study, we sample 30 frequent questions that contain a disease - remedy pair like "Can hepatitis be cured with milk thistle?". For each question, we carefully identify a ground truth answer in the medical literature and annotate the top-10 Yandex search result snippets as confirming the belief, rejecting it, or giving no answer. Our analysis shows that about 44%∼of the snippets (that users may simply interpret as definitive answers!) confirm some untrue beliefs and are wrong, and only few include health risk warnings about using toxic plants.

Cite

CITATION STYLE

APA

Bondarenko, A., Shirshakova, E., Driker, M., Hagen, M., & Braslavski, P. (2021). Misbeliefs and Biases in Health-Related Searches. In International Conference on Information and Knowledge Management, Proceedings (pp. 2894–2899). Association for Computing Machinery. https://doi.org/10.1145/3459637.3482141

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free