1. COVID-19 Information on YouTube: Analysis of Quality and Reliability of Videos in Eleven Widely Spoken Languages across Africa
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Kapil Narain, Kingsley Appiah Bimpong, O’Neil Kosasia Wamukota, Oloruntoba Ogunfolaji, Udeme-Abasi U. Nelson, Anirban Dutta, Ayodeji Ogunleye, Eileen van der Westhuizen, Emmanuel Eni, Almthani Hamza Abdalrheem, Samuel Mesfin, Aimée Bernice Munezero, Nazo Nxumalo, and Okuhle Xozwa
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Public aspects of medicine ,RA1-1270 - Abstract
Introduction. Whilst the coronavirus disease 2019 (COVID-19) vaccination rollout is well underway, there is a concern in Africa where less than 2% of global vaccinations have occurred. In the absence of herd immunity, health promotion remains essential. YouTube has been widely utilised as a source of medical information in previous outbreaks and pandemics. There are limited data on COVID-19 information on YouTube videos, especially in languages widely spoken in Africa. This study investigated the quality and reliability of such videos. Methods. Medical information related to COVID-19 was analysed in 11 languages (English, isiZulu, isiXhosa, Afrikaans, Nigerian Pidgin, Hausa, Twi, Arabic, Amharic, French, and Swahili). Cohen’s Kappa was used to measure inter-rater reliability. A total of 562 videos were analysed. Viewer interaction metrics and video characteristics, source, and content type were collected. Quality was evaluated using the Medical Information Content Index (MICI) scale and reliability was evaluated by the modified DISCERN tool. Results. Kappa coefficient of agreement for all languages was p
- Published
- 2023
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