TikTok content on measles-rubella vaccine in Jordan: A cross-sectional study highlighting the spread of vaccine misinformation.

Narra J Pub Date : 2024-08-01 Epub Date: 2024-07-26 DOI:10.52225/narra.v4i2.877
Maram Abdaljaleel, Muna Barakat, Azmi Mahafzah, Rabih Hallit, Souheil Hallit, Malik Sallam
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Abstract

Social media platforms, including TikTok, have become influential sources of health information. However, they also present as potential sources for the spread of vaccine misinformation. The aim of this study was to assess the quality of measles-rubella (MR) vaccine-related contents on TikTok in Jordan and to analyze factors associated with vaccine misinformation. A systematic search for MR vaccine-related TikTok contents in Jordan was conducted using pre-defined keywords and a specified time range. Content metrics (likes, comments, shares, and saves) were collected while the content quality of health information was evaluated using a modified version of the DISCERN, a validated instrument by two expert raters. The average modified DISCERN score ranged from 1, denoting poor content, to 5, indicating excellent content. A total of 50 videos from 34 unique content creators formed the final study sample. The majority of MR vaccine-related content was created by lay individuals (61.8%), followed by TV/news websites/journalists (23.5%), and healthcare professionals (HCPs) (14.7%). The Cohen κ per modified DISCERN item was in the range of 0.579-0.808, p<0.001), indicating good to excellent agreement. The overall average modified DISCERN score was 2±1.2, while it was only 1.3±0.52 for lay individuals' content, which indicated poor content quality. For the normalized per number of followers for each source, content by lay individuals had a significantly higher number of likes, saves, and shares with p=0.009, 0.012, and 0.004, respectively. Vaccine misinformation was detected in 58.8% of the videos as follows: lay individuals (85.7%), TV/news websites/journalists (25.0%), and HCPs content had none (p<0.001). Normalized per the number of followers for each source, videos flagged as having MR vaccine misinformation reached a higher number of likes, saves, and shares (p=0.012, 0.016, and 0.003, respectively). In conclusion, substantial dissemination of TikTok MR vaccine-related misinformation in Jordan was detected. Rigorous fact-checking is warranted by the platform to address misinformation on TikTok, which is vital to improve trust in MR vaccination and ultimately protect public health.

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约旦有关麻疹风疹疫苗的 TikTok 内容:一项突出疫苗错误信息传播的横断面研究。
包括 TikTok 在内的社交媒体平台已成为具有影响力的健康信息来源。然而,它们也是传播疫苗错误信息的潜在来源。本研究旨在评估约旦 TikTok 上与麻疹风疹(MR)疫苗相关内容的质量,并分析与疫苗误导相关的因素。我们使用预先定义的关键词和指定的时间范围,对约旦 TikTok 上与麻疹风疹疫苗相关的内容进行了系统搜索。在收集内容指标(点赞、评论、分享和保存)的同时,由两名专家评分员使用经过验证的改良版 DISCERN 工具对健康信息的内容质量进行了评估。修改后的 DISCERN 平均得分从 1 分(表示内容较差)到 5 分(表示内容出色)不等。最终的研究样本由来自 34 个不同内容创作者的 50 个视频组成。大多数 MR 疫苗相关内容由非专业人士制作(61.8%),其次是电视/新闻网站/记者(23.5%)和医疗保健专业人员(HCPs)(14.7%)。每个修改后的 DISCERN 项目的 Cohen κ 值范围分别为 0.579-0.808,pp=0.009、0.012 和 0.004。58.8%的视频中发现了疫苗误导信息,具体情况如下:非专业人士(85.7%)、电视/新闻网站/记者(25.0%)和保健医生内容(pp 分别为 0.012、0.016 和 0.003)。总之,在约旦发现了大量 TikTok MR 疫苗相关错误信息的传播。该平台有必要进行严格的事实核查,以解决 TikTok 上的错误信息问题,这对于提高人们对 MR 疫苗接种的信任度并最终保护公众健康至关重要。
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