This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Quality/Credibility of eHealth Information and Trust Issues (531) Information Quality in Digital Media (340) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Vaccination and Immunization in the Digital Age (374)

Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23262, first published .
“Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study

“Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study

“Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study

Authors of this article:

Lu Tang1 Author Orcid Image ;   Kayo Fujimoto2 Author Orcid Image ;   Muhammad (Tuan) Amith3 Author Orcid Image ;   Rachel Cunningham4 Author Orcid Image ;   Rebecca A Costantini1 Author Orcid Image ;   Felicia York1 Author Orcid Image ;   Grace Xiong5 Author Orcid Image ;   Julie A Boom4 Author Orcid Image ;   Cui Tao3 Author Orcid Image
Article Authors Cited by (51) Tweetations (34) Metrics

Journals

  1. Zou W, Tang L. What do we believe in? Rumors and processing strategies during the COVID-19 outbreak in China. Public Understanding of Science 2021;30(2):153 View
  2. Goyal R, Mercado A, Ring D, Crijns T. Most YouTube Videos About Carpal Tunnel Syndrome Have the Potential to Reinforce Misconceptions. Clinical Orthopaedics & Related Research 2021;479(10):2296 View
  3. Zhang J, Xue H, Calabrese C, Chen H, Dang J. Understanding Human Papillomavirus Vaccine Promotions and Hesitancy in Northern California Through Examining Public Facebook Pages and Groups. Frontiers in Digital Health 2021;3 View
  4. Dow B, Johnson A, Wang C, Whitson J, Menon T. The COVID‐19 pandemic and the search for structure: Social media and conspiracy theories. Social and Personality Psychology Compass 2021;15(9) View
  5. Goldwire M, Johnson S, Abdalla M, Advani A, Bernknopf A, Colella A, Kehr H, Kier K, May D, May J, Picone M, Saad M, Thornby K, Ward K. Medical misinformation: A primer and recommendations for pharmacists. JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2023;6(5):497 View
  6. Balakrishnan V, Ng W, Soo M, Han G, Lee C. Infodemic and fake news – A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review. International Journal of Disaster Risk Reduction 2022;78:103144 View
  7. Erdvin , Ardiansyah F, Solim H, Gunawan A. Level of user satisfaction with the current you tube recommendation system. Procedia Computer Science 2023;216:442 View
  8. Ahmed S, Gil-Lopez T. Engaging With Vilifying Stereotypes: The Role of YouTube Algorithmic Use in Perpetuating Misinformation About Muslim Congresswomen. Journalism & Mass Communication Quarterly 2024;101(4):864 View
  9. Chidambaram S, Maheswaran Y, Chan C, Hanna L, Ashrafian H, Markar S, Sounderajah V, Alverdy J, Darzi A. Misinformation About the Human Gut Microbiome in YouTube Videos: Cross-sectional Study. JMIR Formative Research 2022;6(5):e37546 View
  10. Wolfe C. Fuzzy-trace theory and the battle for the gist in the public mind.. Journal of Applied Research in Memory and Cognition 2021;10(4):527 View
  11. Soto-Vásquez A. YouTube and TikTok as Platforms for Learning about Others: The Case of Non-Chinese Travel Videos in Shanghai Disneyland. Online Media and Global Communication 2022;1(2):315 View
  12. GÜL ÜNLÜ D, KESGİN Y. Dijital Ebeveynlik, Aşı Kararsızlığı ve Covid-19: Dijital Ebeveynlerin Covıd-19 Aşısı Karşıtlığına İlişkin Tutumlarının Belirlenmesi. İletişim Kuram ve Araştırma Dergisi 2021;2021(56):165 View
  13. Gatto J, Seegmiller P, Johnston G, Preum S. Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution. JMIR Medical Informatics 2022;10(9):e37770 View
  14. Yeung A, Wochele-Thoma T, Eibensteiner F, Klager E, Hribersek M, Parvanov E, Hrg D, Völkl-Kernstock S, Kletecka-Pulker M, Schaden E, Willschke H, Atanasov A. Official Websites Providing Information on COVID-19 Vaccination: Readability and Content Analysis. JMIR Public Health and Surveillance 2022;8(3):e34003 View
  15. Gu J, Dor A, Li K, Broniatowski D, Hatheway M, Fritz L, Abroms L. The impact of Facebook’s vaccine misinformation policy on user endorsements of vaccine content: An interrupted time series analysis. Vaccine 2022;40(14):2209 View
  16. Ngai C, Singh R, Yao L. Impact of COVID-19 Vaccine Misinformation on Social Media Virality: Content Analysis of Message Themes and Writing Strategies. Journal of Medical Internet Research 2022;24(7):e37806 View
  17. Röchert D, Shahi G, Neubaum G, Ross B, Stieglitz S. The Networked Context of COVID-19 Misinformation: Informational Homogeneity on YouTube at the Beginning of the Pandemic. Online Social Networks and Media 2021;26:100164 View
  18. Habib H, Srinivasan P, Nithyanand R. Making a Radical Misogynist. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  19. Chen Y, Zhang Z. An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage. Information Processing & Management 2022;59(6):103073 View
  20. Real F, Zackoff M, Rosen B. Using Technology to Overcome Vaccine Hesitancy. Pediatric Clinics of North America 2023;70(2):297 View
  21. Yoon H, You K, Kwon J, Kim J, Rha S, Chang Y, Lee S. Understanding the Social Mechanism of Cancer Misinformation Spread on YouTube and Lessons Learned: Infodemiological Study. Journal of Medical Internet Research 2022;24(11):e39571 View
  22. Jolley D, Marques M, Cookson D. Shining a spotlight on the dangerous consequences of conspiracy theories. Current Opinion in Psychology 2022;47:101363 View
  23. Kumar N, Corpus I, Hans M, Harle N, Yang N, McDonald C, Sakai S, Janmohamed K, Chen K, Altice F, Tang W, Schwartz J, Jones-Jang S, Saha K, Memon S, Bauch C, Choudhury M, Papakyriakopoulos O, Tucker J, Goyal A, Tyagi A, Khoshnood K, Omer S. COVID-19 vaccine perceptions in the initial phases of US vaccine roll-out: an observational study on reddit. BMC Public Health 2022;22(1) View
  24. Wolfe C, Eylem A, Dandignac M, Lowe S, Weber M, Scudiere L, Reyna V. Understanding the landscape of web-based medical misinformation about vaccination. Behavior Research Methods 2022;55(1):348 View
  25. Gruzd A, Abul-Fottouh D, Song M, Saiphoo A. From Facebook to YouTube: The Potential Exposure to COVID-19 Anti-Vaccine Videos on Social Media. Social Media + Society 2023;9(1) View
  26. McLean S, Cook N, Rovira-Wilde A, Patel S, Kanagasingam S. Evaluating YouTube as a Patient Information Source for the Risks of Root Canal Treatment. Journal of Endodontics 2023;49(2):155 View
  27. Yang Y, Davis T, Hindman M. Visual misinformation on Facebook. Journal of Communication 2023;73(4):316 View
  28. Shaw R, Ker A. Narratives of relationality and time in fertility preservation vlogs. Feminist Media Studies 2024;24(3):514 View
  29. Ng Y, Hoffmann Pham K, Luengo-Oroz M. Exploring YouTube’s Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories. Journal of Medical Internet Research 2023;25:e49061 View
  30. Sadiq M, Croucher S, Dutta D. COVID-19 Vaccine Hesitancy: A Content Analysis of Nigerian YouTube Videos. Vaccines 2023;11(6):1057 View
  31. 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
  32. Nus B, Sledge T, Wu K, Saunders C, Khalife W. The Quality of MitraClip™ Content on YouTube. Cureus 2023 View
  33. Ho K, Chiu D, (Allen) Au C, Dalisay F, So S, Yamamoto M. Fake News, Misinformation, and Privacy: How the COVID-19 Pandemic Changes Our Society and How Blockchain and Distributed Ledger Technologies Reduce Their Effects. Distributed Ledger Technologies: Research and Practice 2024;3(3):1 View
  34. Lee H, Kim H, Yeon J. Partisan YouTube use and evaluation of knowledge in Korea and the United States: a fresh perspective via the Dunning–Kruger effect. Human Communication Research 2024;50(3):442 View
  35. Matos B, Lima R, Almeida J, Gonçalves M, Santos R. Intellectual dark web, alt-lite and alt-right: Are they really that different? a multi-perspective analysis of the textual content produced by contrarians. Social Network Analysis and Mining 2024;14(1) View
  36. Thakur N, Cui S, Knieling V, Khanna K, Shao M. Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis. Computation 2024;12(2):28 View
  37. Chen C, Kang J, Sajjadi P, Sundar S. Preventing users from going down rabbit holes of extreme video content: A study of the role played by different modes of autoplay. International Journal of Human-Computer Studies 2024;190:103303 View
  38. Richards P, Chavez M, Patel A, Ryll L, Levi J. Comparing the educational quality of YouTube and Facebook videos on tympanostomy tubes. American Journal of Otolaryngology 2024;45(6):104396 View
  39. Demirtaş M, Yaman Artunç N. Mothers’ Perspectives on Childhood Vaccination Programmes after the COVID-19 Pandemic and Subsequent News/Rumours About Vaccination. Turkish Journal of Pediatric Disease 2024:1 View
  40. Brace W, Wolfe C. Straight from the horse’s mouth: communicating the gist of mRNA vaccines. Journal of Applied Communication Research 2024;52(5):642 View
  41. Devasia N, Lee J. The role of narrative in misinformation games. Harvard Kennedy School Misinformation Review 2024 View
  42. Ramasubramanian S, Bhatti S, Santia M, Tang L. Culprits or Victims? Social Media Use, Mediated Ethnic Blame, and Asian American Mental Health During COVID-19. Mass Communication and Society 2024:1 View

Books/Policy Documents

  1. Madison T, David Kim D, Davie W. The Emerald Handbook of Computer-Mediated Communication and Social Media. View
  2. Ginossar T, Shah S, Weiss D. Vaccine Communication Online. View
  3. Marcoux T, Adeliyi O, Banjo D, Gurung M, Agarwal N. Cyber Security and Social Media Applications. View