ArticleComputers in human behavior2023
Who spread COVID-19 (mis)information online? Differential informedness, psychological mechanisms, and intervention strategies.
Article in Computers in human behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 19 citations in OpenAlex.
- Investigation of Public Acceptance of Misinformation Correction in Social Media Based on Sentiment Attributions: Infodemiology Study Using Aspect-Based Sentiment Analysis.Journal of medical Internet research · 2024Article
- [Mis- and disinformation in social media: mitigating risks in digital health communication].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024Review
- How life circumstances during public health crises affect people to share and correct misinformation: a perspective of the third-person effect.Frontiers in psychology · 2024Article
- Infodemic: Challenges and solutions in topic discovery and data process.Archives of public health = Archives belges de sante publique · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Based on a regional survey conducted in five cities of China (Beijing, Shanghai, Guangzhou, Chengdu, and Wuhan) in January 2020 and a national survey experiment conducted in 31 provinces of China in December 2020 during the COVID-19 pandemic, we investigated the intentions for the misinformed, uninformed, and informed individuals to spread COVID-19 related (mis)information online and the psychological factors affecting their distinct sharing behaviors. We found that (1) both misinformed and uninformed individuals were more likely to spread misinformation and less likely to share fact as compared with the informed ones; (2) the reasons for the misinformed individuals to spread misinformation resembled those for the informed ones to share truth, but the uninformed ones shared misinformation based on different motivations; and (3) information that arouses positive emotions were more likely to go viral than that arouses negative feelings in the context of COVID-19, regardless of facticity. The implications of these findings were discussed in terms of how people react to misinformation when coping with risk, and intervention strategies were proposed to combat COVID-19 or other types of misinformation in risk scenarios.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.