Evidence map›Paper›PMID 35867169›Full record

ArticleCognitive research: principles and implications2022

Making decisions about health information on social media: a mouse-tracking study.

Mark Lowry, Neha Trivedi, Patrick Boyd, Anne Julian, Melissa Treviño, Yuki Lama, Kathryn Heley, Frank Perna

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Social media use among patients before and after metabolic and bariatric surgery: a systematic review.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2025
    Pooled it
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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

8 authors.

Mark LowryNational Cancer Institute, 9609 Medical Center Drive, Rockville, MD, USA. mlowry@mail.usf.edu.ORCID 0000-0003-4625-0163
Neha TrivediNational Cancer Institute, 9609 Medical Center Drive, Rockville, MD, USA.
Patrick BoydNational Cancer Institute, 9609 Medical Center Drive, Rockville, MD, USA.
Anne JulianNational Cancer Institute, 9609 Medical Center Drive, Rockville, MD, USA.
Melissa TreviñoNational Cancer Institute, 9609 Medical Center Drive, Rockville, MD, USA.
Yuki LamaNational Cancer Institute, 9609 Medical Center Drive, Rockville, MD, USA.
Kathryn HeleyNational Cancer Institute, 9609 Medical Center Drive, Rockville, MD, USA.
Frank PernaNational Cancer Institute, 9609 Medical Center Drive, Rockville, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health misinformation is a problem on social media, and more understanding is needed about how users cognitively process it. In this study, participants' accuracy in determining whether 60 health claims were true (e.g., "Vaccines prevent disease outbreaks") or false (e.g., "Vaccines cause disease outbreaks") was assessed. The 60 claims were related to three domains of health risk behavior (i.e., smoking, alcohol and vaccines). Claims were presented as Tweets or as simple text statements. We employed mouse tracking to measure reaction times, whether processing happens in discrete stages, and response uncertainty. We also examined whether health literacy was a moderating variable. The results indicate that information in statements and tweets is evaluated incrementally most of the time, but with overrides happening on some trials. Adequate health literacy scorers were equally certain when responding to tweets and statements, but they were more accurate when responding to tweets. Inadequate scorers were more confident on statements than on tweets but equally accurate on both. These results have important implications for understanding the underlying cognition needed to combat health misinformation online.

Indexed as

Social MediaText MessagingCommunicationData CollectionHumansSmokingCognitionHealth literacyMouse trackingReaction timesSocial media

Identifiers

PMID35867169
PMCPMC9306418

What OpenQuestion holds

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LicenceCC BY
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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.