Egyptian Newspapers Coverage of COVID-19 Vaccines: A Theoretically Driven Content Analysis

Zeid, Nour; Tang, Lu

doi:10.1080/10810730.2022.2157908

Cited by 1 publication

(2 citation statements)

References 59 publications

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“…Furthermore, while news media may not be considered the most credible or scientific source for health information, media in the MENA region is often under state control and typically functions as a mouthpiece for the governments. 19 , 73 Thus, the media content most likely reflects the governments’ position on vaccination, which tended to encourage and slowly normalize COVID-19 vaccines due to the government's vaccination agenda (e.g. vaccine mandates).…”

Section: Discussionmentioning

confidence: 99%

“…Factors contributing to vaccine hesitancy have been extensively studied in different regions, 15 – 16 yet, less attention has been given to this topic in the Arab world 8 , 17 – 18 until recently. 19 , 20 Research on vaccine hesitancy has often shown that the exposure to misleading information on social media can increase hesitancy 21 , 22 and that social media is disproportionately successful in promoting vaccine hesitancy as opposed to vaccine uptake. 23 During the COVID-19 pandemic, a noticeable shift in the Arab countries’ media consumption patterns was observed, indicating a heavier reliance on social media as the primary COVID-19 and COVID-19 vaccines source of information rather than traditional media.…”

mentioning

confidence: 99%

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The spread of COVID-19 vaccine information in Arabic on YouTube: A network exposure study

Zeid,

Tang,

Amith

2023

DIGITAL HEALTH

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Objective The Arabic-speaking world had the lowest vaccine rates worldwide. The region's increasing reliance on social media as a source of COVID-19 information coupled with the increasing popularity of YouTube in the Middle East and North Africa region begs the question of what COVID-19 vaccine content is available in Arabic on YouTube. Given the platform's reputation for being a hotbed for vaccine-related misinformation in English, this study explored the COVID-19 vaccine-related content an individual is likely to be exposed to on YouTube when using keyword-based search or redirected to YouTube from another platform from an anti-vaccine seed video in Arabic. Methods Only using the Arabic language, four networks of videos based on YouTube's recommendations were created in April 2021. Two search networks were created based on Arabic pro-vaccine and anti-vaccine keywords, and two seed networks were created from conspiracy theory and anti-vaccine expert seed videos. The network exposure model was used to examine the video contents and network structures. Results Results show that users had a low chance of being exposed to anti-vaccine content in Arabic compared to the results of a previous study of YouTube content in English. Of the four networks, only the anti-vaccine expert network had a significant likelihood of exposing the user to more anti-vaccine videos. Implications were discussed. Conclusion YouTube deserves credit for its efforts to clean up and limit anti-vaccine content exposure in Arabic on its platform, but continuous evaluations of the algorithm functionality are warranted.

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Section: Discussionmentioning

confidence: 99%