The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Addressing Health-Related Misinformation on Social Media
Abstract
The ubiquitous social media landscape has created an information ecosystem populated by a cacophony of opinion, true and false information, and an unprecedented quantity of data on many topics. Policy makers and the social media industry grapple with the challenge of curbing fake news, disinformation, and hate speech; and the field of medicine is similarly confronted with the spread of false, inaccurate, or incomplete health information.1 From the discourse on the latest tobacco products, alcohol, and alternative therapies to skepticism about medical guidelines, misinformation on social media can have adverse effects on public health. For example, the social media rumors circulating during the Ebola outbreak in 2014 created hostility toward health workers, posing challenges to efforts to control the epidemic.2 Another example is the increasingly prevalent antivaccine social media posts that seemingly legitimize debate about vaccine safety and could be contributing to reductions in vaccination rates and increases in vaccine-preventable disease.3 The spread of health-related misinformation is exacerbated by information silos and echo chamber effects. Social media feeds are personally curated and tailored to individual beliefs, partisan bias, and identity. Consequently, information silos are created in which the likelihood for exchange of differing viewpoints
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Citations
Cites
The spread of true and false news online
Vosoughi, S., Roy, D., & Aral, S. (2018) · Science · doi:10.1126/science.aap9559 · Cited by 8,847
Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate
Broniatowski, D. A., Jamison, A. M., Qi, S., AlKulaib, L., Chen, T., Benton, A., Quinn, S. C., & Dredze, M. (2018) · American Journal of Public Health · doi:10.2105/ajph.2018.304567 · Cited by 1,149
Social learning and partisan bias in the interpretation of climate trends
Guilbeault, D., Becker, J., & Centola, D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1722664115 · Cited by 203
The Persistence and Peril of Misinformation
(2017) · American Scientist · doi:10.1511/2017.105.6.372 · Cited by 62
Cited by
Prevalence of health misinformation on social media: systematic review
Suarez-Lledo, V., & Alvarez-Galvez, J. (2021) · Journal of Medical Internet Research · doi:10.2196/17187 · Cited by 1,564
Public health and online misinformation: challenges and recommendations
Swire-Thompson, B., & Lazer, D. (2020) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040119-094127 · Cited by 1,170
Puri, N., Coomes, E. A., Haghbayan, H., & Gunaratne, K. (2020) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1780846 · Cited by 1,157
Top concerns of tweeters during the COVID-19 pandemic: Infoveillance study
Abd-Alrazaq, A., Alhuwail, D., Househ, M., Hamdi, M., & Shah, Z. (2020) · Journal of Medical Internet Research · doi:10.2196/19016 · Cited by 774
Misinformation of COVID-19 vaccines and vaccine hesitancy
Lee, S. K., Sun, J., Jang, S., & Connelly, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-17430-6 · Cited by 269
Metadata
- Authors
- Chou, W.-Y. S., Oh, A., & Klein, W. M. P.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2018-12-18
- Volume
- 320
- Issue
- 23
- Pages
- 2417
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2900471836
- Cited by
- 933
- References
- 4
- FWCI
- 181.12
- Type
- journal article
- Language
- en
- Open access
- closed
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