The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Seeking and sharing health information online: comparing search engines and social media
Abstract
Search engines and social media are two of the most com-monly used online services; in this paper, we examine how users appropriate these platforms for online health activi-ties via both large-scale log analysis and a survey of 210 people. While users often turn to search engines to learn about serious or highly stigmatic conditions, a surprising amount of sensitive health information is also sought and shared via social media, in our case the public social plat-form Twitter. We contrast what health content people seek via search engines vs. share on social media, as well as why they choose a particular platform for online health activi-ties. We reflect on the implications of our results for design-ing search engines, social media, and social search tools that better support people's health information seeking and sharing needs.
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“By observing the interplay between what people search and share about health on social media, De Choudhury et al. (2014) found information seeking and sharing practices to vary with the characteristics of each medical condition, such as its severity.”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as De Choudhury et al., 2014
Citations
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Cited by
Sorted by citations
Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity
De Choudhury, M., & De, S. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14526 · Cited by 836
Self-citationSocial Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00013 · Cited by 763
From internet access to internet skills: digital inequality among older adults
Hargittai, E., Piper, A. M., & Morris, M. R. (2019) · Universal Access in the Information Society · doi:10.1007/s10209-018-0617-5 · Cited by 616
Self-citationProblematic Machine Behavior: A Systematic Literature Review of Algorithm Audits
Bandy, J. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449148 · Cited by 193
Uddin, J., Feng, C., & Xu, J. (2025) · Journal of Medical Internet Research · doi:10.2196/66032 · Cited by 31
Metadata
- Authors
- De Choudhury, M., Morris, M. R., & White, R. W.
- Affiliations
- Microsoft Research, Redmond, WA, USA
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2014-04-26
- Pages
- 1365-1376
- Cited by
- 216
- References
- 6
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