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

COVID-19 Vaccination (146) JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Mass Media/Social Media Communication and Campaigns (461) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Consumer & Patient Education and Shared-Decision Making (679) Vaccination and Immunization in the Digital Age (374) Parent and Caregiver Education and Behavior Change for Vaccination (74) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Prevention and Health Promotion (987) Behavioural Surveillance for Public Health (229) Infodemiology and Infoveillance (1349) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Information Quality in Digital Media (340)

Published on in Vol 7, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28352, first published .
YouTube Videos and Informed Decision-Making About COVID-19 Vaccination: Successive Sampling Study

YouTube Videos and Informed Decision-Making About COVID-19 Vaccination: Successive Sampling Study

YouTube Videos and Informed Decision-Making About COVID-19 Vaccination: Successive Sampling Study

Authors of this article:

Charles E Basch1 Author Orcid Image ;   Corey H Basch2 Author Orcid Image ;   Grace C Hillyer3 Author Orcid Image ;   Zoe C Meleo-Erwin2 Author Orcid Image ;   Emily A Zagnit4 Author Orcid Image
Article Authors Cited by (26) Tweetations (7) Metrics

Journals

  1. Hernández-García I, Gascón-Giménez I, Gascón-Giménez A, Giménez-Júlvez T. Information in Spanish on YouTube about Covid-19 vaccines. Human Vaccines & Immunotherapeutics 2021;17(11):3916 View
  2. Choi H, Ahn S. Classifications, Changes, and Challenges of Online Health Information Seekers during COVID-19. International Journal of Environmental Research and Public Health 2021;18(18):9495 View
  3. Caserotti M, Gavaruzzi T, Girardi P, Tasso A, Buizza C, Candini V, Zarbo C, Chiarotti F, Brescianini S, Calamandrei G, Starace F, de Girolamo G, Lotto L. Who is likely to vacillate in their COVID-19 vaccination decision? Free-riding intention and post-positive reluctance. Preventive Medicine 2022;154:106885 View
  4. Meleo-Erwin Z, Basch C, Fera J, Smith B. Discussion of Weight Loss Surgery in Instagram Posts: Successive Sampling Study. JMIR Perioperative Medicine 2021;4(2):e29390 View
  5. Lorenz-Spreen P, Oswald L, Lewandowsky S, Hertwig R. A systematic review of worldwide causal and correlational evidence on digital media and democracy. Nature Human Behaviour 2022;7(1):74 View
  6. Li H, Pastukhova E, Brandts-Longtin O, Tan M, Kirchhof M. YouTube as a source of misinformation on COVID-19 vaccination: a systematic analysis. BMJ Global Health 2022;7(3):e008334 View
  7. I. Albeladi F, A. Kubbara E, A. Bakarman M, Al Amri T, Eid R, Alyazidi N, Alkhamesi A, Alasslany A. Misconceptions about COVID-19 vaccine among adults in Saudi Arabia and their associated factors: A cross-sectional study conducted in 2021. F1000Research 2022;11:561 View
  8. Tang H, Kim S, Laforet P, Tettey N, Basch C. Loss of Weight Gained During the COVID-19 Pandemic: Content Analysis of YouTube Videos. JMIR Formative Research 2022;6(2):e35164 View
  9. Sayfi S, Alayche I, Magwood O, Gassanov M, Motilall A, Dewidar O, Detambel N, Matthews M, Ahmed R, Schünemann H, Pottie K. Identifying Health Equity Factors That Influence the Public’s Perception of COVID-19 Health Information and Recommendations: A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(19):12073 View
  10. Naz S, Akram M, Muhiuddin G, Shafiq A, Ahmad S. Modified EDAS Method for MAGDM Based on MSM Operators with 2-Tuple Linguistic T -Spherical Fuzzy Sets. Mathematical Problems in Engineering 2022;2022:1 View
  11. Teng S, Jiang N, Khong K. Using big data to understand the online ecology of COVID-19 vaccination hesitancy. Humanities and Social Sciences Communications 2022;9(1) View
  12. Yiannakoulias N, Darlington J, Slavik C, Benjamin G. Negative COVID-19 Vaccine Information on Twitter: Content Analysis. JMIR Infodemiology 2022;2(2):e38485 View
  13. Alfatease A, Alqahtani A, Orayj K, Alshahrani S. The Impact of Social Media on the Acceptance of the COVID-19 Vaccine: A Cross-Sectional Study from Saudi Arabia. Patient Preference and Adherence 2021;Volume 15:2673 View
  14. Piltch-Loeb R, Su M, Hughes B, Testa M, Goldberg B, Braddock K, Miller-Idriss C, Maturo V, Savoia E. Testing the Efficacy of Attitudinal Inoculation Videos to Enhance COVID-19 Vaccine Acceptance: Quasi-Experimental Intervention Trial. JMIR Public Health and Surveillance 2022;8(6):e34615 View
  15. Gao H, Yin H, Peng L, Wang H. Effectiveness of Social Video Platforms in Promoting COVID-19 Vaccination Among Youth: A Content-Specific Analysis of COVID-19 Vaccination Topic Videos on Bilibili. Risk Management and Healthcare Policy 2022;Volume 15:1621 View
  16. Uzel İ, Ghabchi B, Akalın A, Eden E, Wut T. YouTube as an information source in paediatric dentistry education: Reliability and quality analysis. PLOS ONE 2023;18(3):e0283300 View
  17. Narayanan S, Basch C. YouTube and COVID-19 vaccines: A mini scoping review. Human Vaccines & Immunotherapeutics 2023;19(1) View
  18. Erkin Y, Hanci V, Ozduran E. Evaluation of the reliability and quality of YouTube videos as a source of information for transcutaneous electrical nerve stimulation. PeerJ 2023;11:e15412 View
  19. Kier-Byfield S, Burford J, Henderson E. ‘5 secrets they won’t tell you’: The content and rhetoric of YouTube advice videos about searching for a doctoral supervisor. Innovations in Education and Teaching International 2023:1 View
  20. I. Albeladi F, A. Kubbara E, A. Bakarman M, Al Amri T, Eid R, Alyazidi N, Alkhamesi A, Alasslany A. Misconceptions about COVID-19 vaccine among adults in Saudi Arabia and their associated factors: A cross-sectional study conducted in 2021. F1000Research 2023;11:561 View
  21. Mohamed F, Shoufan A. Users’ experience with health-related content on YouTube: an exploratory study. BMC Public Health 2024;24(1) View
  22. 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
  23. Chandrasekaran R, Konaraddi K, Sharma S, Moustakas E. Text-Mining and Video Analytics of COVID-19 Narratives Shared by Patients on YouTube. Journal of Medical Systems 2024;48(1) View
  24. Kara M, Ozduran E, Mercan Kara M, Hanci V, Erkin Y. Assessing the quality and reliability of YouTube videos as a source of information on inflammatory back pain. PeerJ 2024;12:e17215 View
  25. Kjærulff E, Nexø M, Papoutsi C, Langstrup H. ‘Online boundary-work’: How people with diabetes negotiate what counts as legitimate knowledge in Facebook peer support groups. Social Science & Medicine 2024;363:117480 View

Books/Policy Documents

  1. Bitzer E, Schaefer C. Gesundheitskompetenz. View