ArticleWorld medical & health policy2021
Accuracy of health-related information regarding COVID-19 on Twitter during a global pandemic.
Article in World medical & health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
11 citing papers in PubMed.
- Using Social Media Listening to Understand the Pressure Injury Experience: A Qualitative Descriptive Study.JMIR nursing · 2026Article
- Health-Related Messages About Herbs, Spices, and Other Botanicals Appearing in Print Issues and Websites of Legacy Media: Content Analysis and Evaluation.JMIR formative research · 2024Article
- Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study.JMIR infodemiology · 2024Article
- Complementary, alternative, and integrative medicine-specific COVID-19 misinformation on social media: A scoping review.Integrative medicine research · 2023Article
- Guidance to best tools and practices for systematic reviews.BMC infectious diseases · 2023Article
- Guidance to best tools and practices for systematic reviews.Systematic reviews · 2023Article
- Guidance to best tools and practices for systematic reviews1.Journal of pediatric rehabilitation medicine · 2023Article
- Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Partisan polarization, historical heritage, and public health: Exploring COVID-19 outcomes.World medical & health policy · 2022Article
- Pretrained Transformer Language Models Versus Pretrained Word Embeddings for the Detection of Accurate Health Information on Arabic Social Media: Comparative Study.JMIR formative research · 2022Article
- Accuracy of health-related information regarding COVID-19 on Twitter during a global pandemic.World medical & health policy · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was performed to analyze the accuracy of health-related information on Twitter during the coronavirus disease 2019 (COVID-19) pandemic. Authors queried Twitter on three dates for information regarding COVID-19 and five terms (cure, emergency or emergency room, prevent or prevention, treat or treatments, vitamins or supplements) assessing the first 25 results with health-related information. Tweets were authoritative if written by governments, hospitals, or physicians. Two physicians assessed each tweet for accuracy. Metrics were compared between accurate and inaccurate tweets using
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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.