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COVID-19 Vaccine Information and Infertility Posts on X: Insights on a Misinformation Pandemic.
Levy, Morgan S; Hunt, Kelby N; Rinehart, Sarah; Brown, Alyssa D; Kelly, Amelia G; Sundaram, Padmaja; Crump, Alisha; Sinclair, Tiffany J; Dey, Kally; Zoroufy, Alexander; Caban-Martinez, Alberto J; Plowden, Torie Comeaux.
Afiliação
  • Levy MS; Department of Medical Education, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Hunt KN; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Rinehart S; Department of Medical Education, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Brown AD; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Kelly AG; Department of Medical Education, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Sundaram P; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Crump A; Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Sinclair TJ; Department of Obstetrics and Gynecology, New York University Grossman School of Medicine, New York, NY, USA.
  • Dey K; Department of Obstetrics and Gynecology, University of Massachusetts, Springfield, MA, USA.
  • Zoroufy A; Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Caban-Martinez AJ; Department of Surgery, Kaiser Panorama City, Panorama City, CA, USA.
  • Plowden TC; Chicago College of Osteopathic Medicine, Midwestern University, Downers Grove, IL, USA.
Perm J ; 28(2): 47-54, 2024 06 14.
Article em En | MEDLINE | ID: mdl-38698715
ABSTRACT

OBJECTIVE:

This study aimed to evaluate misinformation surrounding infertility and the COVID-19 vaccine on X (formerly known as Twitter) by analyzing the prevalence and content of this misinformation across a sample of posts on X.

METHODS:

This study is a retrospective review of posts on X (formerly known as tweets) from the COVID-19-TweetIDs dataset from July 2021 and November 2021. Included posts were from crucial time points in the COVID-19 vaccine discourse and contained at least one word related to COVID-19 vaccination and fertility. Posts were analyzed and categorized based on factuality, common words, and hashtags. Descriptive statistics on total followers, account verification status, and engagement were obtained. Differences between posts on X classified as factual and misinformation were examined using analysis of variance or χ2 tests. Sentiment analysis determined if post content was generally positive, neutral, or negative.

RESULTS:

A total of 17,418 relevant posts on X were reviewed 11,436 from timeframe 1 (July 2021) and 5982 from timeframe 2 (December 2021). Misinformation posts rose from 29.9% in July 2021 to 45.1% in November 2021. In both timeframes, accounts sharing factual information had more followers (p < 0.001), and verified users were more likely to share accurate posts (p ≤ 0.001). Factual and misinformation posts had similar engagement. Sentiment analysis identified that real posts were more positive and misinformation posts were more negative (p < 0.001). CONCLUSIONS AND RELEVANCE Misinformation about the COVID-19 vaccine and fertility is highly prevalent on X and threatens vaccine uptake in patients desiring future fertility. Accounts sharing factual information were likely to have more followers and be verified; therefore, verifying more physicians sharing accurate information is critical.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comunicação / Mídias Sociais / Vacinas contra COVID-19 / COVID-19 / Infertilidade Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comunicação / Mídias Sociais / Vacinas contra COVID-19 / COVID-19 / Infertilidade Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article