ArticleJournal of the Association for Information Science and Technology2022
Understanding the spread of COVID-19 misinformation on social media: The effects of topics and a political leader's nudge.
Article in Journal of the Association for Information Science and Technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Getting Connected to M-Health Technologies through a Meta-Analysis.International journal of environmental research and public health · 2023Pooled it
- Political vs. expert: the impact of influencer type on vaccination willingness.Frontiers in public health · 2026Article
- Covid-19 infodemic: media literacy and perception of fake news among residents of Ikeja, Lagos state.Annals of medicine and surgery (2012) · 2025Review
- Infodemic Management and Government Disinformation: The Brazilian Experience.Asian bioethics review · 2025Article
- Social Media Authentication and Users' Assessments of Health Information: Random Assignment Survey Experiment.JMIR formative research · 2024Article
- Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets.Frontiers in public health · 2024Article
- The Reviewer Academy of the Society of Critical Care Medicine: Key Principles and Strategic Plan.Critical care medicine · 2023Article
- Exploring the impact of sentiment on multi-dimensional information dissemination using COVID-19 data in China.Computers in human behavior · 2023Article
- The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems.Frontiers in psychology · 2023Article
- Community Engagement Alliance (CEAL) Against COVID-19 Disparities: Academic-community partnership to support workforce capacity building among Arizona community health workers.Frontiers in public health · 2023Article
- A Bibliometric Analysis and Review of Nudge Research Using VOSviewer.Behavioral sciences (Basel, Switzerland) · 2022Review
- The Lancet Commission on lessons for the future from the COVID-19 pandemic.Lancet (London, England) · 2022Review
- Trust in COVID-19 public health information.Journal of the Association for Information Science and Technology · 2022Article
- Understanding How and by Whom COVID-19 Misinformation is Spread on Social Media: Coding and Network Analyses.Journal of medical Internet research · 2022Article
- Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media.Information systems frontiers : a journal of research and innovation · 2022Article
- Understanding the spread of COVID-19 misinformation on social media: The effects of topics and a political leader's nudge.Journal of the Association for Information Science and Technology · 2022Article
- Commitment to protective measures during the COVID-19 pandemic in Syria: A nationwide cross-sectional study.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spread of misinformation on social media has become a major societal issue during recent years. In this work, we used the ongoing COVID-19 pandemic as a case study to systematically investigate factors associated with the spread of multi-topic misinformation related to one event on social media based on the heuristic-systematic model. Among factors related to systematic processing of information, we discovered that the topics of a misinformation story matter, with conspiracy theories being the most likely to be retweeted. As for factors related to heuristic processing of information, such as when citizens look up to their leaders during such a crisis, our results demonstrated that behaviors of a political leader, former US President Donald J. Trump, may have nudged people's sharing of COVID-19 misinformation. Outcomes of this study help social media platform and users better understand and prevent the spread of misinformation on social media.
Identifiers
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.