Fulltext

Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages

Yussof I 1 , Ab Muin NF 2 , Mohd M 3 , Hatah E 1 , Mohd Tahir NA 1 , Mohamed Shah N 1

Affiliations 

  • 1 Centre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
  • 2 Oncology and Radiotherapy Department, Hospital Canselor Tuanku Muhriz, Cheras, Malaysia
  • 3 Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
Digit Health, 2023;9:20552076231205742.
PMID: 37808244 DOI: 10.1177/20552076231205742

Abstract

OBJECTIVE: To determine the prevalence and types of misinformation on Twitter related to breast cancer prevention and treatment; and compare the differences between the misinformation in English and Malay tweets.

METHODS: A total of 6221 tweets related to breast cancer posted between 2018 and 2022 were collected. An oncologist and two pharmacists coded the tweets to differentiate between true information and misinformation, and to analyse the misinformation content. Binary logistic regression was conducted to identify determinants of misinformation.

RESULTS: There were 780 tweets related to breast cancer prevention and treatment, and 456 (58.5%) contain misinformation, with significantly more misinformation in Malay compared to English tweets (OR = 6.18, 95% CI: 3.45-11.07, p 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

Similar publications