Published on in Vol 22, No 8 (2020): August
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/19018, first published
.
Journals
- Keselman A, Arnott Smith C, Leroy G, Kaufman D. Factors Influencing Willingness to Share Health Misinformation Videos on the Internet: Web-Based Survey. Journal of Medical Internet Research 2021;23(12):e30323 View
- Sossenheimer P, Hong G, Devon-Sand A, Lin S. Voice Assistants’ Responses to Questions About the COVID-19 Vaccine: National Cross-sectional Study. JMIR Formative Research 2023;7:e43007 View
- Herbenick D, Patterson C, Khan S, Voorheis E, Sullivan A, Wright P, Keene S. “Don’t Just Randomly Grab Someone’s Neck during Intercourse!” An Analysis of Internet Articles about Choking/Strangulation during Sex. Journal of Sex & Marital Therapy 2023;49(1):41 View
- Shegog R, Savas L, Healy C, Frost E, Coan S, Gabay E, Preston S, Spinner S, Wilbur M, Becker E, Teague T, Vernon S. AVPCancerFree : Impact of a digital behavior change intervention on parental HPV vaccine –related perceptions and behaviors. Human Vaccines & Immunotherapeutics 2022;18(5) View
- Bickmore T, Ólafsson S, O'Leary T. Mitigating Patient and Consumer Safety Risks When Using Conversational Assistants for Medical Information: Exploratory Mixed Methods Experiment. Journal of Medical Internet Research 2021;23(11):e30704 View
- Epstein R, Lee V, Mohr R, Zankich V, Saikia L. The Answer Bot Effect (ABE): A powerful new form of influence made possible by intelligent personal assistants and search engines. PLOS ONE 2022;17(6):e0268081 View
- Thompson E, Preston S, Francis J, Rodriguez S, Pruitt S, Blackwell J, Tiro J. Social Media Perceptions and Internet Verification Skills Associated With Human Papillomavirus Vaccine Decision-Making Among Parents of Children and Adolescents: Cross-sectional Survey. JMIR Pediatrics and Parenting 2022;5(3):e38297 View
- Turner J, Kantardzic M, Vickers-Smith R. Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis. Journal of Medical Internet Research 2021;23(12):e27307 View
- Eagle T, Blau C, Bales S, Desai N, Li V, Whittaker S. “I don’t know what you mean by `I am anxious'”: A New Method for Evaluating Conversational Agent Responses to Standardized Mental Health Inputs for Anxiety and Depression. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
- Bin Sawad A, Narayan B, Alnefaie A, Maqbool A, Mckie I, Smith J, Yuksel B, Puthal D, Prasad M, Kocaballi A. A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions. Sensors 2022;22(7):2625 View
- Seródio Figueiredo C, de Melo T, Goes R. Evaluating Voice Assistants' Responses to COVID-19 Vaccination in Portuguese: Quality Assessment. JMIR Human Factors 2022;9(1):e34674 View
- Nan X, Thier K, Wang Y. Health misinformation: what it is, why people believe it, how to counter it. Annals of the International Communication Association 2023;47(4):381 View
- Dai Y, Lee J, Kim J. AI vs. Human Voices: How Delivery Source and Narrative Format Influence the Effectiveness of Persuasion Messages. International Journal of Human–Computer Interaction 2023:1 View
- Ding H, Simmich J, Vaezipour A, Andrews N, Russell T. Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. Journal of the American Medical Informatics Association 2024;31(3):746 View
Books/Policy Documents
- Wang Y, Thier K, Nan X. Vaccine Communication Online. View