Evidence map›Paper›PMID 40776206›Full record

ArticleStudies in health technology and informatics2025

Towards Data-Driven Science Literacy: Extracting Psycholinguistic Markers in Vaping-Related Online Peer Interactions.

Michael Truong, Ahmed Abdelhameed, Tavleen Singh, Kirk Roberts, Sahiti Myneni

Abstract read
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In one paragraph

Article in Studies in health technology and informatics, 2025. 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

5 authors.

Michael TruongMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Ahmed AbdelhameedMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Tavleen SinghMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Kirk RobertsMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Sahiti MyneniMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.

Funding

Informatics-enhanced Social Networks and Affiliation Processes (ISNAP) to promote risk reduction and early diagnosis of Alzheimer's and Related Dementias.R01AG089193 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Kayo Fujimoto, SAHITI MYNENI · 2024 to 2026
$2.0M
Pragmatics to Reveal Intention in Social Media (PRISM) for Health PromotionR01LM012974 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MYNENI, SAHITI · 2019 to 2022
$1.5M
NIA NIH HHS R01 AG089193NLM NIH HHS R01 LM012974
6 · The paper itself

Abstract

Social media debates on e-cigarettes raise public health concerns due to evolving evidence and conflicting guidelines. We analyzed 25,127 vaping-related comments to explore how users discuss vaping-related topics. Our analysis revealed 25 topics grouped into three parent topics: positive effects of vaping, negative effects of vaping, and vaping-related news & information. Significant differences were observed in psycholinguistic characteristics with high emotional exchanges as positive and negative effects of e-cigarettes are debated. Our results can inform interventions promoting science literacy and misinformation resistance.

Indexed as

Health LiteracyPeer GroupPsycholinguisticsSocial MediaVapingElectronic Nicotine Delivery SystemsHumanse-cigarettesScience literacysocial mediatopic modeling

Identifiers

PMID40776206
PMCPMC13222649

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.