The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Consumer health information seeking in social media: a literature review
Open accessAbstract
Objective: The objective of this literature review was to summarise current research regarding how consumers seek health‐related information from social media. Primarily, we hope to reveal characteristics of existing studies investigating the health topics that consumers have discussed in social media, ascertaining the roles social media have played in consumers’ information‐seeking processes and discussing the potential benefits and concerns of accessing consumer health information in social media. Methods: The Web of Science Core Collection database was searched for existing literature on consumer health information seeking in social media. The search returned 214 articles, of which 21 met the eligibility criteria following review of full‐text documents. Conclusion: Between 2011 and 2016, twenty‐one studies published explored various topics related to consumer information seeking in social media. These ranged from online discussions on specific diseases (e.g. diabetes) to public health concerns (e.g. pesticide residues). Consumers’ information needs vary depending on the health issues of interest. Benefits of health seeking on social media, in addition to filling a need for health information, include the social and emotional support health consumers gain from peer‐to‐peer interactions. These benefits, however, are tempered by concerns of information quality and authority and lead to decreased consumer engagement.
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Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875
Griffin, R. J., Dunwoody, S., & Neuwirth, K. (1999) · Environmental Research · doi:10.1006/enrs.1998.3940 · Cited by 1,187
The future of mental health care: peer-to-peer support and social media
Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., & Bartels, S. J. (2016) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796015001067 · Cited by 1,180
Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness
Eysenbach, G. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.1030 · Cited by 1,143
Social media use in the United States: implications for health communication
Chou, W.-Y. S., Hunt, Y. M., Beckjord, E. B., Moser, R. P., & Hesse, B. W. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1249 · Cited by 1,082
Health information-seeking behaviour in adolescence: the place of the internet
Gray, N. J., Klein, J. D., Noyce, P. R., Sesselberg, T. S., & Cantrill, J. A. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2004.08.010 · Cited by 791
Examining the Dimensions of Cancer-Related Information Seeking and Scanning Behavior
Niederdeppe, J., Hornik, R. C., Kelly, B. J., Frosch, D. L., Romantan, A., Stevens, R. S., Barg, F. K., Weiner, J. L., & Schwartz, J. S. (2007) · Health Communication · doi:10.1080/10410230701454189 · Cited by 395
Vaiva, G., Walter, M., Al Arab, A. S., Courtet, P., Bellivier, F., Demarty, A. L., Duhem, S., Ducrocq, F., Goldstein, P., & Libersa, C. (2011) · BMC Psychiatry · doi:10.1186/1471-244x-11-1 · Cited by 305
Correlates of Health-Related Social Media Use Among Adults
Thackeray, R., Crookston, B. T., & West, J. H. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2297 · Cited by 285
The Wisdom of Patients: Health Care Meets Online Social Media
Sarasohn-Kahn, J. (2008) · Issue Lab (Candid) · Cited by 213
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Clark, H., Coll-Seck, A. M., Banerjee, A., Peterson, S., Dalglish, S. L., Ameratunga, S., Balabanova, D., Bhan, M. K., Bhutta, Z. A., Borrazzo, J., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(19)32540-1 · Cited by 1,105
Online Health Information Seeking Behavior: A Systematic Review
Jia, X., Pang, Y., & Liu, L. S. (2021) · Healthcare · doi:10.3390/healthcare9121740 · Cited by 547
Stellefson, M., Paige, S. R., Chaney, B. H., & Chaney, J. D. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17041153 · Cited by 399
Nutrition and Food Literacy: Framing the Challenges to Health Communication
Silva, P., Araújo, R., Lopes, F., & Ray, S. (2023) · Nutrients · doi:10.3390/nu15224708 · Cited by 267
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Metadata
- Authors
- Zhao, Y., & Zhang, J.
- Venue
- Health Information & Libraries Journal
- Publisher
- Wiley
- Published
- 2017-10-17
- Volume
- 34
- Issue
- 4
- Pages
- 268-283
- ISSN
- 1471-1834 (ISSN-L)
- 1471-1842
- OpenAlex
- W2766352063
- Cited by
- 607
- References
- 38
- FWCI
- 37.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.