Evidence map›Paper›PMID 42814686›Full record

ArticlePloS one2026

The limited effects of social media use on misperceptions Social media's limited role in misperceptions.

Qin Li, Robert M Bond, Erik Nisbet, Graham Dixon, Shelly Hovick, Kilhoe Na, Duane Wegener, R Kelly Garrett

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Qin LiSchool of Communication, Ohio State University, Columbus, Ohio, United States of America.
Robert M BondSchool of Communication, Ohio State University, Columbus, Ohio, United States of America.ORCID https://orcid.org/0000-0002-5026-2186
Erik NisbetSchool of Communication, Northwestern University, Evanston, Illinois, United States of America.
Graham DixonSchool of Communication, Ohio State University, Columbus, Ohio, United States of America.
Shelly HovickSchool of Communication, Ohio State University, Columbus, Ohio, United States of America.
Kilhoe NaMerrimack College, North Andover, Massachusetts, United States of America.
Duane WegenerDepartment of Psychology, Ohio State University, Columbus, Ohio, United States of America.ORCID https://orcid.org/0000-0001-7639-4251
R Kelly GarrettSchool of Communication, Ohio State University, Columbus, Ohio, United States of America.ORCID https://orcid.org/0000-0001-7022-7452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media use has the potential to promote misperceptions, but evidence is mixed. Despite social media characteristics that include homophilous social networks, algorithms that can reinforce biases, and social bots that promote falsehoods, there is no evidence of a strong association between social media use and misperceptions. This project offers the strongest empirical test of this relation to date, providing additional evidence of the minimal effects of social media use on misperceptions. Data come from two independent large-N panel studies, each paired with online tracking data, one focused on the 2020 election and the other on the COVID-19 pandemic. Within-between regression models show that social media use was not associated with a statistically significant decline in Americans' ability to discriminate between true and false claims on any of the four platforms examined-Facebook, Twitter, YouTube, and Instagram.

Indexed as

Coronavirus InfectionsSocial MediaCOVID-19Digital MediaHumansMedia ExposurePandemicsSARS-CoV-2

Identifiers

PMID42814686
PMCPMC13626341

What OpenQuestion holds

Textmetadata
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.