Descriptive analysis of TikTok content on vaccination in Arabic

被引:0
|
作者
Sallam, Malik [1 ,2 ]
Al-Mahzoum, Kholoud [3 ]
Alkandari, Lujain [3 ]
Shabakouh, Aisha [3 ]
Shabakouh, Asmaa [3 ]
Ali, Abiar [3 ]
Alenezi, Fajer [3 ]
Barakat, Muna [4 ]
机构
[1] Univ Jordan, Sch Med, Dept Pathol Microbiol & Forens Med, Amman 11942, Jordan
[2] Jordan Univ Hosp, Dept Clin Labs & Forens Med, Amman 11942, Jordan
[3] Univ Jordan, Sch Med, Amman 11942, Jordan
[4] Appl Sci Private Univ, Fac Pharm, Dept Clin Pharm & Therapeut, Amman 11931, Jordan
来源
AIMS PUBLIC HEALTH | 2025年 / 12卷 / 01期
关键词
health communication; misinformation; social media; vaccination; content quality; HEALTH INFORMATION; COVID-19; MISINFORMATION; SENTIMENT; VACCINES; SPREAD;
D O I
10.3934/publichealth.2025010
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The extensive impact of social media on communication of public health information is a growing concern. This is particularly worrying in the context of vaccination. Thus, we investigated the quality of TikTok videos regarding vaccination in Arabic, with examination of the association of video source and content type with the information quality and video engagement metrics. The final sample comprised a total of 129 TikTok videos in Arabic posted between January 2021 and July 2024. Videos were categorized based on the source [healthcare professional (HCPs), lay individuals, media], and content type (COVID-19 vaccination, childhood vaccination, general vaccination, others). We utilized a miniaturized version of the DISCERN instrument (mini-DISCERN) scale to evaluate information quality by two independent raters and assessed video engagement metrics (Likes, Comments, Shares, and Saves). The results indicated a statistically significant discrepancy in information quality, with videos from HCPs and media outlets scoring higher on the mini-DISCERN scale compared to those from lay individuals [mean: (4.818 +/- 0.726) vs. (4.053 +/- 1.441) vs. (2.003 +/- 1.640), P < 0.001]. The highest information quality was found for videos on childhood vaccination, whereas content on COVID-19 vaccination was rated significantly lower on mini-DISCERN [mean: (4.510 +/- 1.269) vs. (2.542 +/- 1.827), P < 0.001]. Videos with higher engagement metrics, particularly those from lay individuals, were negatively correlated with information quality. Linear regression analysis confirmed the significant influence of the creator background (beta = -0.618, P < 0.001) and video topic (beta = 0.179, P = 0.009) on information quality. This study highlights the critical role of content creator background and topic on the quality of vaccination-related information on TikTok in Arabic. We emphasize the need for stringent verification of TikTok content, especially from lay individuals, as videos with higher engagement metrics often contained lower-quality information regarding vaccination. We recommend enhanced support for content from HCPs and targeted digital literacy programs to combat vaccine misinformation on TikTok effectively.
引用
收藏
页码:137 / 161
页数:25
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