Evidence map›Paper›PMID 35577820›Full record

Observational studyScientific reports2022

Examining the impact of sharing COVID-19 misinformation online on mental health.

Gaurav Verma, Ankur Bhardwaj, Talayeh Aledavood, Munmun De Choudhury, Srijan Kumar

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
41.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 109 citations in OpenAlex.

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  6. How social learning enhances-or undermines-efficiency and flexibility in collective decision-making under uncertainty.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Gaurav VermaSchool of Computational Science and Engineering, College of Computing, Georgia Institute of Technology, Atlanta, GA, 30308, USA.
Ankur BhardwajSchool of Computational Science and Engineering, College of Computing, Georgia Institute of Technology, Atlanta, GA, 30308, USA.
Talayeh AledavoodDepartment of Computer Science, Aalto University, 02150, Espoo, Finland.
Munmun De ChoudhurySchool of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, GA, 30308, USA.
Srijan KumarSchool of Computational Science and Engineering, College of Computing, Georgia Institute of Technology, Atlanta, GA, 30308, USA. srijan@gatech.edu.
Georgia Institute of Technology · USAalto University · FI

Funding

Leveraging Social Media Data and Machine Learning to Optimize Treatment Paradigms for Youth with SchizophreniaR01MH117172 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI DE CHOUDHURY, MUNMUN · 2019 to 2022
$2.6M
NIH HHS R01MH117172
6 · The paper itself

Abstract

Misinformation about the COVID-19 pandemic proliferated widely on social media platforms during the course of the health crisis. Experts have speculated that consuming misinformation online can potentially worsen the mental health of individuals, by causing heightened anxiety, stress, and even suicidal ideation. The present study aims to quantify the causal relationship between sharing misinformation, a strong indicator of consuming misinformation, and experiencing exacerbated anxiety. We conduct a large-scale observational study spanning over 80 million Twitter posts made by 76,985 Twitter users during an 18.5 month period. The results from this study demonstrate that users who shared COVID-19 misinformation experienced approximately two times additional increase in anxiety when compared to similar users who did not share misinformation. Socio-demographic analysis reveals that women, racial minorities, and individuals with lower levels of education in the United States experienced a disproportionately higher increase in anxiety when compared to the other users. These findings shed light on the mental health costs of consuming online misinformation. The work bears practical implications for social media platforms in curbing the adverse psychological impacts of misinformation, while also upholding the ethos of an online public sphere.

Indexed as

COVID-19Social MediaCommunicationFemaleHumansMental HealthPandemicsSARS-CoV-2

Identifiers

PMID35577820
PMCPMC9109204
OpenAlexW4280489099

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.