Celebrities and Breast Cancer: A Multidimensional Quali-Quantitative Analysis of News Stories Shared on Social Media.

breast cancer communication content analysis online prevention social media

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
05 08 2022
Historique:
received: 06 07 2022
revised: 29 07 2022
accepted: 03 08 2022
entrez: 12 8 2022
pubmed: 13 8 2022
medline: 16 8 2022
Statut: epublish

Résumé

In 2020, breast cancer was the most frequent type of cancer in 158 countries. To advise the population about risk factors and the importance of preventive measures, celebrities can be of great help, acting as spokespersons for reliable scientific information. The goal of this study is to analyse the content of news stories about breast cancer shared on different social media, examining how stories with celebrity presence are constructed. We performed a quali-quantitative multidimensional analysis of news stories in English that addressed breast cancer on the following social media platforms: Facebook, Pinterest, Twitter and Reddit. We compared news stories with and without the presence of celebrities. Our sample consists of 1594 news stories that had at least 1000 total shares across all analysed social media; 262 news stories mention a celebrity (16.44%), while 1332 stories do not (83.56%). Nevertheless, the ones that feature celebrities are, as a rule, more shared. The percentage of stories with celebrities addressing breast cancer prevention is quite low (1.9%). The same can be said for mentions of scientific papers/specialist quotes (3.4%). This research may help outline some possible paths that healthcare organizations and communication professionals can take to improve breast cancer content available online.

Identifiants

pubmed: 35955028
pii: ijerph19159676
doi: 10.3390/ijerph19159676
pmc: PMC9368231
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Priscila Biancovilli (P)

Doctoral School of Health Sciences, University of Pécs, 7621 Pécs, Hungary.

Lilla Makszin (L)

Institute of Bioanalysis, Medical School, University of Pécs, 7624 Pécs, Hungary.
Szentágothai Research Center, University of Pécs, 7624 Pécs, Hungary.

Faten Amer (F)

Doctoral School of Health Sciences, University of Pécs, 7621 Pécs, Hungary.

Alexandra Csongor (A)

Department of Languages for Biomedical Purposes and Communication, Medical School, University of Pécs, 7624 Pécs, Hungary.

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Classifications MeSH