Published on in Vol 2, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37007, first published .
Investigation of COVID-19 Misinformation in Arabic on Twitter: Content Analysis

Investigation of COVID-19 Misinformation in Arabic on Twitter: Content Analysis

Investigation of COVID-19 Misinformation in Arabic on Twitter: Content Analysis

Journals

  1. Zhao S, Hu S, Zhou X, Song S, Wang Q, Zheng H, Zhang Y, Hou Z. The Prevalence, Features, Influencing Factors, and Solutions for COVID-19 Vaccine Misinformation: Systematic Review. JMIR Public Health and Surveillance 2023;9:e40201 View
  2. Attar R, Almohanna A, Almusharraf A, Alhazmi A, Alanzi N, Al-Anezi F, Alanzi T, Sroor R, Albishri A, Alzahrani A, Alsabilah T, Alkenani A, Alghamdi R, AlGethami F, AlGethami A. Use of social media for the improvement of safety knowledge and awareness among Saudi Arabian phlebotomists. Frontiers in Medicine 2023;10 View
  3. Zeid N, Tang L, Amith M. The spread of COVID-19 vaccine information in Arabic on YouTube: A network exposure study. DIGITAL HEALTH 2023;9 View
  4. Alshehri S, Sallam M. Vaccine conspiracy association with higher COVID-19 vaccination side effects and negative attitude towards booster COVID-19, influenza and monkeypox vaccines: A pilot study in Saudi Universities. Human Vaccines & Immunotherapeutics 2023;19(3) View
  5. Jin Q, Raza S, Yousaf M, Zaman U, Ogadimma E, Shah A, Core R, Malik A. Assessing How Risk Communication Surveillance Prompts COVID-19 Vaccine Acceptance Among Internet Users by Applying the Situational Theory of Problem Solving: Cross-Sectional Study. JMIR Formative Research 2023;7:e43628 View
  6. Bizzotto N, Schulz P, de Bruijn G. The “Loci” of Misinformation and Its Correction in Peer- and Expert-Led Online Communities for Mental Health: Content Analysis. Journal of Medical Internet Research 2023;25:e44656 View