TikTok content on measles-rubella vaccine in Jordan: A cross-sectional study highlighting the spread of vaccine misinformation DOI Creative Commons
Maram Abdaljaleel, Muna Barakat, Azmi Mahafzah

et al.

Narra J, Journal Year: 2024, Volume and Issue: 4(2), P. e877 - e877

Published: July 26, 2024

Social media platforms, including TikTok, have become influential sources of health information. However, they also present as potential for the spread vaccine misinformation. The aim this study was to assess quality measles-rubella (MR) vaccine-related contents on TikTok in Jordan and analyze factors associated with A systematic search MR conducted using pre-defined keywords a specified time range. Content metrics (likes, comments, shares, saves) were collected while content information evaluated modified version DISCERN, validated instrument by two expert raters. average DISCERN score ranged from 1, denoting poor content, 5, indicating excellent content. total 50 videos 34 unique creators formed final sample. majority created lay individuals (61.8%), followed TV/news websites/journalists (23.5%), healthcare professionals (HCPs) (14.7%). Cohen κ per item range 0.579-0.808,

Language: Английский

TikTok content on measles-rubella vaccine in Jordan: A cross-sectional study highlighting the spread of vaccine misinformation DOI Creative Commons
Maram Abdaljaleel, Muna Barakat, Azmi Mahafzah

et al.

Narra J, Journal Year: 2024, Volume and Issue: 4(2), P. e877 - e877

Published: July 26, 2024

Social media platforms, including TikTok, have become influential sources of health information. However, they also present as potential for the spread vaccine misinformation. The aim this study was to assess quality measles-rubella (MR) vaccine-related contents on TikTok in Jordan and analyze factors associated with A systematic search MR conducted using pre-defined keywords a specified time range. Content metrics (likes, comments, shares, saves) were collected while content information evaluated modified version DISCERN, validated instrument by two expert raters. average DISCERN score ranged from 1, denoting poor content, 5, indicating excellent content. total 50 videos 34 unique creators formed final sample. majority created lay individuals (61.8%), followed TV/news websites/journalists (23.5%), healthcare professionals (HCPs) (14.7%). Cohen κ per item range 0.579-0.808,

Language: Английский

Citations

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