Evidence map›Paper›PMID 39810858›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

Birds of a feather? Mis- and dis-information on the social media platform X related to avian influenza.

Lauren N Cooper, Marlon I Diaz, John J Hanna, Zachary M Most, Christoph U Lehmann, Richard J Medford

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Lauren N CooperClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.ORCID https://orcid.org/0000-0003-4000-9192
Marlon I DiazClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.
John J HannaClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.ORCID https://orcid.org/0000-0003-0909-9396
Zachary M MostDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.
Christoph U LehmannClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.ORCID https://orcid.org/0000-0001-9559-4646
Richard J MedfordClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Social media has become an important tool in monitoring infectious disease outbreaks such as coronavirus disease 2019 and highly pathogenic avian influenza (HPAI). Influenced by the recent announcement of a possible human death from H5N2 avian influenza, we analyzed tweets collected from X (formerly Twitter) to describe the messaging regarding the HPAI outbreak, including mis- and dis-information, concerns, and health education. Methods: We collected tweets involving keywords relating to HPAI for 5 days (June 04 to June 08, 2024). Using topic modeling, emotion, sentiment, and user demographic analyses, we were able to describe the population and the HPAI-related topics that users discussed. Results: With an original pool of 14,796 tweets, we analyzed a final data set of 13,319 tweets from 10,421 unique X users, with 50.4% of the tweets exhibiting negative sentiments (< 0 on a scale of -4 to +4). Predominant emotions were anger and fear shown in 36.4% and 29.5% of tweets, respectively. We identified 5 distinct, descriptive topics within the tweets. The use of emotionally charged language and spread of misinformation were substantial. Conclusions: Mis- and dis-information about the causes of and ways to prevent HPAI infections were common. A large portion of the tweets contained references to a planned epidemic or "plandemic" to influence the upcoming 2024 US presidential election. These tweets were countered by a limited number of tweets discussing infection locations, case reports, and preventive measures. Our study can be used by public health officials and clinicians to influence the discourse on current and future outbreaks.

Identifiers

PMID39810858
PMCPMC11729529

What OpenQuestion holds

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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.