The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source
Open accessAbstract
An increasing lack of information truthfulness has become a fundamental challenge to communications. Insights into how to debunk this type of misinformation can especially be crucial for public health crises. To identify corrective information strategies that increase awareness and trigger actions during infectious disease outbreaks, an online experiment (N = 700) was conducted, using a U.S. sample. After initial misinformation exposure, participants’ exposure to corrective information type (simple rebuttal vs. factual elaboration) and source (government health agency vs. news media vs. social peer) was varied, including a control group without corrective information. Results show that, if corrective information is present rather than absent, incorrect beliefs based on misinformation are debunked and the exposure to factual elaboration, compared to simple rebuttal, stimulates intentions to take protective actions. Moreover, government agency and news media sources are found to be more successful in improving belief accuracy compared to social peers. The observed mediating role of crisis emotions reveals the mechanism underlying the effects of corrective information. The findings contribute to misinformation research by providing a formula for correcting the increasing spread of misinformation in times of crisis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2013) · Cited by 44,563
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117
A Meta-Analysis of Fear Appeals: Implications for Effective Public Health Campaigns
Witte, K., & Allen, M. (2000) · Health Education & Behavior · doi:10.1177/109019810002700506 · Cited by 3,216
When Corrections Fail: The Persistence of Political Misperceptions
Nyhan, B., & Reifler, J. (2010) · Political Behavior · doi:10.1007/s11109-010-9112-2 · Cited by 3,173
Misinformation and Its Correction: Continued Influence and Successful Debiasing
Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012) · Psychological Science in the Public Interest · doi:10.1177/1529100612451018 · Cited by 2,920
Ongoing Crisis Communication: Planning, Managing, and Responding
Coombs, W. T. (1999) · Cited by 2,445
Hart, P. S., & Nisbet, E. C. (2012) · Communication Research · doi:10.1177/0093650211416646 · Cited by 1,123
Best Practices in Crisis Communication: An Expert Panel Process
Seeger, M. W. (2006) · Journal of Applied Communication Research · doi:10.1080/00909880600769944 · Cited by 917
Debunking: A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation
Chan, M.-P. S., Jones, C. R., Hall Jamieson, K., & Albarracín, D. (2017) · Psychological Science · doi:10.1177/0956797617714579 · Cited by 898
Schultz, F., Utz, S., & Göritz, A. (2011) · Public Relations Review · doi:10.1016/j.pubrev.2010.12.001 · Cited by 784
Research works printed but not linked: 7
- 10.1371/journal.pone.0014118 · DOI
- Coombs W. T., 2014, Institute of Public Relations
- Jin Y., 2012, Pre-crisis planning, communication, and management: Preparing for the inevitable, 125
- Sandman P., 2003, Emergency risk communication CDCynergy (CD-ROM). Centers for disease control and prevention, US department of health and human services
- Sandman P., 2005, Emergency risk communication CDCynergy (CD-ROM). Centers for disease control and prevention, US department of health and human services
- 10.1016/j.pubrev.2010.12.001 · DOI · Paper page
- 10.1080/10410236.2017.1331312 · DOI · Paper page
Cited by
The psychological drivers of misinformation belief and its resistance to correction
Ecker, U. K. H., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Kendeou, P., Vraga, E. K., & Amazeen, M. A. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-021-00006-y · Cited by 1,372
Healthcare professionals’ acts of correcting health misinformation on social media
Bautista, J. R., Zhang, Y., & Gwizdka, J. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104375 · Cited by 171
COVID-19 Related Misinformation on Social Media: A Qualitative Study from Iran (Preprint)
(2020) · doi:10.2196/18932 · Cited by 146
The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
Micallef, N., He, B., Kumar, S., Ahamad, M., & Memon, N. (2020) · 2020 IEEE International Conference on Big Data (Big Data) · doi:10.1109/bigdata50022.2020.9377956 · Cited by 116
How Can Psychological Science Help Counter the Spread of Fake News?
van der Linden, S., Roozenbeek, J., Maertens, R., Basol, M., Kácha, O., Rathje, S., & Traberg, C. S. (2021) · The Spanish Journal of Psychology · doi:10.1017/sjp.2021.23 · Cited by 71
Metadata
- Authors
- van der Meer, T. G. L. A., & Jin, Y.
- Venue
- Health Communication
- Publisher
- Informa UK Limited
- Published
- 2019-02-14
- Volume
- 35
- Issue
- 5
- Pages
- 560-575
- ISSN
- 1041-0236 (ISSN-L)
- 1532-7027
- OpenAlex
- W2912249915
- Cited by
- 429
- References
- 58
- FWCI
- 91.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source. https://app.cochat.ai/papers/10.1080/10410236.2019.1573295
- The paper
- van der Meer, T. G. L. A., & Jin, Y. (2020). Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source. Health Communication. https://doi.org/10.1080/10410236.2019.1573295
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.