Evidence map›Paper›PMID 39705277›Full record

ArticlePloS one2024

Being vulnerable with viewers: Exploring how medical YouTubers communicated about COVID-19 with the public.

Seung Woo Chae, Noriko Hara, Harshit Rakesh Shiroiya, Janice Chen, Ellen Ogihara

Abstract read
In one paragraph

Article in PloS one, 2024. 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

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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.

Seung Woo ChaeDepartment of Journalism and Creative Media Industries, College of Media and Communication, Texas Tech University, Lubbock, Texas, United States of America.ORCID 0000-0001-9068-2575
Noriko HaraThe Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, Indiana, United States of America.ORCID 0000-0003-1915-1434
Harshit Rakesh ShiroiyaMedpace, Cincinnati, Ohio, United States of America.
Janice ChenDepartment of Psychological and Brain Sciences in the College of Arts & Sciences, Indiana University, Bloomington, Indiana, United States of America.
Ellen OgiharaSporecyte, Orem, Utah, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores COVID-19 communication between medical experts who upload YouTube videos related to health/medicine (hereinafter medical YouTubers) and their viewers. We investigated three specific elements: (1) how medical YouTubers' use of words related to analytical thinking is associated with their viewers' engagement, (2) how medical YouTubers' use of different types of emotion is associated with their viewers' engagement, and (3) the emotional alignment between medical YouTubers and their viewers. We collected 194 COVID-related video transcripts from five YouTube channels and 375,284 comments from those videos. We employed natural language processing to analyze the linguistic and emotional dimensions of these two text sets including analytical thinking, positive emotion, and negative emotion, the last of which was divided into anxiety, anger, and sadness. Additionally, three metrics provided by YouTube-the number of views, likes, and comments-were used as proxies representing user engagement. Our regression analysis results displayed that the medical YouTubers' analytical thinking was positively associated with the number of views. Regarding emotion, anxiety was positively correlated with the number of likes and comments, while both positive emotion and anger were negatively associated with the number of views. Finally, both positive and negative emotions of medical YouTubers were found to be positively correlated with the corresponding emotions of their viewers. Theoretical and practical implications of these findings are discussed within the context of COVID-19.

Indexed as

COVID-19EmotionsSocial MediaCommunicationHumansSARS-CoV-2Video Recording

Identifiers

PMID39705277
PMCPMC11661595

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.