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

Patient Education for Skin Conditions (22) Quality/Credibility of eHealth Information and Trust Issues (544) Information Quality in Digital Media (347) Chatbots and Conversational Agents (543) Natural Language Processing (706) Infodemic Management (49) Bots and AI Approaches to Detect and Counter Misinformation (7) Infodemiology and Infoveillance (1369) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 4, No 2 (2021): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20975, first published .
Identifying and Responding to Health Misinformation on Reddit Dermatology Forums With Artificially Intelligent Bots Using Natural Language Processing: Design and Evaluation Study

Identifying and Responding to Health Misinformation on Reddit Dermatology Forums With Artificially Intelligent Bots Using Natural Language Processing: Design and Evaluation Study

Identifying and Responding to Health Misinformation on Reddit Dermatology Forums With Artificially Intelligent Bots Using Natural Language Processing: Design and Evaluation Study

Authors of this article:

Monique A Sager1 Author Orcid Image ;   Aditya M Kashyap2 Author Orcid Image ;   Mila Tamminga1 Author Orcid Image ;   Sadhana Ravoori2 Author Orcid Image ;   Christopher Callison-Burch2 Author Orcid Image ;   Jules B Lipoff3 Author Orcid Image
Article Authors Cited by (7) Tweetations (20) Metrics

Journals

  1. Ahmed F, Lipoff J. The role of dermatologists in social media: exploring the benefits and risks. Der Hautarzt 2022;73(5):401 View
  2. Roca S, Almenara M, Gilaberte Y, Gracia-Cazaña T, Morales Callaghan A, Murciano D, García J, Alesanco Á. When Virtual Assistants Meet Teledermatology: Validation of a Virtual Assistant to Improve the Quality of Life of Psoriatic Patients. International Journal of Environmental Research and Public Health 2022;19(21):14527 View
  3. Heague M, Ray C, Bowers J, Guckian J, Arents B, Layton A. Patient and Public Involvement in Dermatology Research: A Review. American Journal of Clinical Dermatology 2022;23(3):319 View
  4. White B, Gombert A, Nguyen T, Yau B, Ishizumi A, Kirchner L, León A, Wilson H, Jaramillo-Gutierrez G, Cerquides J, D’Agostino M, Salvi C, Sreenath R, Rambaud K, Samhouri D, Briand S, Purnat T. Using Machine Learning Technology (Early Artificial Intelligence–Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study. JMIR Infodemiology 2023;3:e47317 View
  5. Hackley M, Al-Bataineh D, Lipoff J. Portrayal of mental health effects of isotretinoin on TikTok. JAAD International 2024;14:90 View
  6. Paganelli A, Spadafora M, Navarrete‐Dechent C, Guida S, Pellacani G, Longo C. Natural language processing in dermatology: A systematic literature review and state of the art. Journal of the European Academy of Dermatology and Venereology 2024;38(12):2225 View
  7. Hallo-Carrasco A, Furtado Pessoa de Mendonca L, Provenzano D, Eldrige J, Mendoza-Chipantasi D, Encalada S, Hunt C. Social media users’ perspectives of spinal cord stimulation: an analysis of data sourced from social media. Regional Anesthesia & Pain Medicine 2024:rapm-2024-105935 View