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

Chatbots and Conversational Agents (514) JMIR Theme Issue: COVID-19 Special Issue (2437) Viewpoints and Perspectives (507) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383) Artificial Intelligence (1323) Infectious Diseases (non-STD/STI) (1555) Outbreak and Pandemic Preparedness and Management (1713) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1512) Hygiene and Infection Prevention (308) Infodemiology and Infoveillance (1329) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (42)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27283, first published .
Chloe for COVID-19: Evolution of an Intelligent Conversational Agent to Address Infodemic Management Needs During the COVID-19 Pandemic

Chloe for COVID-19: Evolution of an Intelligent Conversational Agent to Address Infodemic Management Needs During the COVID-19 Pandemic

Chloe for COVID-19: Evolution of an Intelligent Conversational Agent to Address Infodemic Management Needs During the COVID-19 Pandemic

Authors of this article:

Sophia Siedlikowski1 Author Orcid Image ;   Louis-Philippe Noël1 Author Orcid Image ;   Stephanie Anne Moynihan1 Author Orcid Image ;   Marc Robin1 Author Orcid Image
Article Authors Cited by (14) Tweetations (8) Metrics

Journals

  1. Luk T, Lui J, Wang M. Efficacy, Usability, and Acceptability of a Chatbot for Promoting COVID-19 Vaccination in Unvaccinated or Booster-Hesitant Young Adults: Pre-Post Pilot Study. Journal of Medical Internet Research 2022;24(10):e39063 View
  2. Zhao X, Chen L, Jin Y, Zhang X. Comparing button-based chatbots with webpages for presenting fact-checking results: A case study of health information. Information Processing & Management 2023;60(2):103203 View
  3. Chin H, Lima G, Shin M, Zhunis A, Cha C, Choi J, Cha M. User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e40922 View
  4. Kaywan P, Ahmed K, Ibaida A, Miao Y, Gu B, Saha S. Early detection of depression using a conversational AI bot: A non-clinical trial. PLOS ONE 2023;18(2):e0279743 View
  5. Singh C, Imam T, Wibowo S, Grandhi S. A Deep Learning Approach for Sentiment Analysis of COVID-19 Reviews. Applied Sciences 2022;12(8):3709 View
  6. Czerniak K, Pillai R, Parmar A, Ramnath K, Krocker J, Myneni S. A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation. Journal of the American Medical Informatics Association 2023 View
  7. Yang L, Ng W, Lei X, Tan S, Wang Z, Yan M, Pargi M, Zhang X, Lim J, Gunasekeran D, Tan F, Lee C, Yeo K, Tan H, Ho H, Tan B, Wong T, Kwek K, Goh R, Liu Y, Ting D. Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study. Frontiers in Public Health 2023;11 View
  8. Islam A, Chaudhry B. Design Validation of a Relational Agent by COVID-19 Patients: Mixed Methods Study. JMIR Human Factors 2023;10:e42740 View
  9. Musi E, Carmi E, Reed C, Yates S, O’Halloran K. Developing Misinformation Immunity: How to Reason-Check Fallacious News in a Human–Computer Interaction Environment. Social Media + Society 2023;9(1) View
  10. Quintana Y, Cullen T, Holmes J, Joshi A, Novillo-Ortiz D, Liaw S. Global Health Informatics: the state of research and lessons learned. Journal of the American Medical Informatics Association 2023;30(4):627 View
  11. Chin H, Song H, Baek G, Shin M, Jung C, Cha M, Choi J, Cha C. The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e51712 View
  12. Voelskow V, Meßner C, Kurth T, Busam A, Glatz T, Ebert N. Prospective mixed-methods study evaluating the potential of a voicebot (CovBot) to relieve German health authorities during the COVID-19 infodemic. DIGITAL HEALTH 2023;9 View
  13. Lim W, Custodio R, Sunga M, Amoranto A, Sarmiento R. General Characteristics and Design Taxonomy of Chatbots for COVID-19: Systematic Review. Journal of Medical Internet Research 2024;26:e43112 View
  14. Mahdavi A, Amanzadeh M, Hamedan M, Naemi R. Artificial Intelligence-Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review. Shiraz E-Medical Journal 2023;24(11) View