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

Design and Usability of Consumer Health Tech and Home Monitoring Devices (326) Mobile Health (mhealth) (3464) Artificial Intelligence (2129) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Quality/Credibility of eHealth Information and Trust Issues (654) Theories, Models, and Frameworks in Human Factors (93)

Published on in Vol 9, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38799, first published .
Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis

Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis

Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis

Authors of this article:

Yi Shan1 Author Orcid Image ;   Meng Ji2 Author Orcid Image ;   Wenxiu Xie3 Author Orcid Image ;   Kam-Yiu Lam3 Author Orcid Image ;   Chi-Yin Chow3 Author Orcid Image
Article Authors Cited by (28) Tweetations (6) Metrics

Journals

  1. Honcharov V, Li J, Sierra M, Rivadeneira N, Olazo K, Nguyen T, Mackey T, Sarkar U. Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis. JMIR Infodemiology 2023;3:e40575 View
  2. Ciolfi Felice M, Søndergaard M, Balaam M. Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e47131 View
  3. Kim A, Choi S, Woo K. Navigating the Landscape of Telemedicine Research: A Topic Modeling Approach for the Present and Future. Telemedicine and e-Health 2024;30(5):1378 View
  4. Shlobin N, Rosseau G. Opportunities and Considerations for the Incorporation of Artificial Intelligence into Global Neurosurgery: A Generative Pretrained Transformer Chatbot-Based Approach. World Neurosurgery 2024;186:e398 View
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  6. Balcıoğlu Y. Anxiety management strategies on TikTok: a discourse analysis of collective coping mechanisms. Journal of Mental Health 2024;33(5):619 View
  7. Bolpagni M, Pardini S, Gabrielli S. Human centered design of AI-powered Digital Therapeutics for stress prevention: Perspectives from multi-stakeholders' workshops about the SHIVA solution. Internet Interventions 2024;38:100775 View
  8. Benda N, Desai P, Reza Z, Zheng A, Kumar S, Harkins S, Hermann A, Zhang Y, Joly R, Kim J, Pathak J, Reading Turchioe M. Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study. JMIR Mental Health 2024;11:e58462 View
  9. Xu J, Wu Z, Wass L, Larson H, Lin L. Mapping global public perspectives on mRNA vaccines and therapeutics. npj Vaccines 2024;9(1) View
  10. Li M, Choe Y, Gu C. How perceived sustainability influences consumers’ clothing preferences. Scientific Reports 2024;14(1) View
  11. Liu Y, Wong H. From policy to practice: decoding the evolution of K-12 English teacher training course selection in Zhejiang through topic modelling analysis (2014–2023). Asia Pacific Journal of Education 2024:1 View
  12. Ryan K, Hogg J, Kasun M, Kim J. Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study. JMIR mHealth and uHealth 2025;13:e64715 View
  13. Bach T, Männikkö N. The importance of justified patient trust in unlocking AI's potential in mental healthcare. Frontiers in Human Dynamics 2025;7 View
  14. Ren J, Luo J, Huang Y, Shetty V, Jeon M. Mapping the mHealth Nexus: A Semantic Analysis of mHealth Scholars’ Research Propensities Following an Interdisciplinary Training Institute. Applied Sciences 2025;15(11):6252 View
  15. Guglielmucci F, Di Basilio D. Predicting Engagement With Conversational Agents in Mental Health Therapy by Examining the Role of Epistemic Trust, Personality, and Fear of Intimacy: Cross-Sectional Web-Based Survey Study. JMIR Human Factors 2025;12:e70698 View
  16. Yeasmin S, Saha S, Khan Rony M, Akter Semi M, Das S, Rahman R, Khan R, Tasnim A, Hosen A. The role of AI-driven art therapy in supporting autism, mental health, and emotional well-being: An umbrella review. DIGITAL HEALTH 2025;11 View

Books/Policy Documents

  1. Rubeis G. Ethics of Medical AI. View
  2. Badran A. Harnessing AI, Blockchain, and Cloud Computing for Enhanced e-Government Services. View
  3. Gkintoni E, Telonis G, Tsimakis A, Halkiopoulos C, Boutsinas B. Innovation and Creativity in Tourism, Business and Social Sciences. View
  4. Efthymiou E, Katsarou D, Sofologi M, Megari K, Papadopoulou S, Mantsos E, Argyriadis A, Argyriadi A. AI in Learning, Educational Leadership, and Special Education. View
  5. Fairhurst M, Kaesling K, Klös V. Explainable Artificial Intelligence. View

Conference Proceedings

  1. Severes B, Carreira C, Vieira A, Gomes E, Aparício J, Pereira I. Proceedings of the 41st ACM International Conference on Design of Communication. The Human Side of XAI: Bridging the Gap between AI and Non-expert Audiences View
  2. Lei L, Liu G. 2023 10th International Conference on Behavioural and Social Computing (BESC). Public Perception Towards Intelligent Medical Technologies During and Post COVID-19 Pandemic: Exploring Health Communication in Social Media using Neural Topic Models View
  3. Nag P, Bhagat A, Vishnu Priya R, Khare D. 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI). Emotional Intelligence Through Artificial Intelligence: NLP and Deep Learning in the Analysis of Healthcare Texts View
  4. Young J, Jawara L, Nguyen D, Daly B, Huh-Yoo J, Razi A. Proceedings of the CHI Conference on Human Factors in Computing Systems. The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses View
  5. Liew K, Wu X, Zhang Z. 2025 IEEE Conference on Artificial Intelligence (CAI). Trust, Support, and Adoption Intentions Towards Generative AI are Context Dependent View
  6. Mrabet J, Moussa N, Mansour R, Alhendi E. 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA). Trust in the Machine: How Empathy and Exposure Shape Human Engagement with Social Chatbots View

Dissertations

  1. . Leveraging LLMs for the Analysis of Mobile App User Feedback: In-Depth Evaluation of User Perspectives on AI-Enabled Mobile Apps. View