Bots and AI Approaches to Detect and Counter Misinformation

Articles published in this theme: 23 (scroll down to load remaining articles)

2026

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Audience-Specific Health Communication: Mixed Methods Evaluation of the Maria Ciência AI-Assisted Knowledge Translation Tool

Mariana Araújo-Pereira, Klauss Villalva-Serra Jr, Gustavo Pires-Ramos, Beatriz Sousa-Peres, Joanã Nascimento Conceição-Oliveira, Sarah Dourado Maiche, Rebeca Rebouças da Cunha Silva, Bruno de Bezerril Andrade

JMIR Infodemiology 2026 (Mar 03); 6:e78843

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Large Language Models for Supporting Clear Writing and Detecting Spin in Randomized Controlled Trials in Oncology: Comparative Analysis of GPT Models and Prompts

Carole Koechli, Fabio Dennstädt, Christina Schröder, Daniel M Aebersold, Robert Förster, Daniel R Zwahlen, Paul Windisch

JMIR Cancer 2026 (Jan 21); 12:e78221

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Intervention in Health Misinformation Using Large Language Models for Automated Detection, Thematic Analysis, and Inoculation: Case Study on COVID-19

Samira Malek, Christopher Griffin, Robert D Fraleigh, Robert Lennon, Vishal Monga, Lijiang Shen

J Med Internet Res 2026 (Jan 08); 28:e75500

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2025

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Detection of Medical Misinformation in Hemangioma Patient Education: Comparative Study of ChatGPT-4o and DeepSeek-R1 Large Language Models

Guoyong Wang, Ye Zhang, Weixin Wang, Yingjie Zhu, Wei Lu, Chaonan Wang, Hui Bi, Xiaonan Yang

JMIR AI 2025 (Nov 18); 4:e76372

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Online Interventions Addressing Health Misinformation: Scoping Review

Hiya Grover, Radwa Nour, Nabil Zary, Leigh Powell

J Med Internet Res 2025 (Sep 04); 27:e69618

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Data Mining Trauma: AI-Assisted Qualitative Study of Cyber Victimization on Reddit

J'Andra Antisdel, Wendy R Miller, Doyle Groves

JMIR Infodemiology 2025 (Sep 03); 5:e75493

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Adolescents’ and Young Adults’ Perceptions of a Pop-Up Aimed at Combating the Spread of E-Cigarette Misinformation on Social Media: Cross-Sectional Survey Study

Jessica Maturo, Shivani Mathur Gaiha

JMIR Form Res 2025 (Aug 19); 9:e73193

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Evaluating the Feasibility of Web-Monitoring Methodology for Measuring Exposure to Online Cancer Misinformation

Cindy A Turner, Andy J King, Ida Tovar, Morgan M Millar, Rachel R Codden, Jia-Wen Guo, Skyler Johnson, Anne C Kirchhoff, Margaret Raber, Xiaoming Sheng, Deanna Kepka, Echo L Warner

JMIR Cancer 2025 (Jul 29); 11:e65887

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Harnessing Facebook to Investigate Real-World Mentions of Adverse Events of Glucagon-Like Peptide-1 Receptor Agonist (GLP-1 RA) Medications: Observational Study of Facebook Posts From 2022 to 2024

Amrutha S Alibilli, Vidur Jain, Heran Mane, Xiaohe Yue, Alexandria Ratzki-Leewing, Junaid S Merchant, Shaniece Criss, Quynh C Nguyen, Rozalina G McCoy, Thu T Nguyen

JMIR Infodemiology 2025 (Jul 24); 5:e73619

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Leveraging AI to Investigate Child Maltreatment Text Narratives: Promising Benefits and Addressable Risks

Wilson Lukmanjaya, Tony Butler, Sarah Cox, Oscar Perez-Concha, Leah Bromfield, George Karystianis

JMIR Pediatr Parent 2025 (Jul 24); 8:e73579

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Interventions to Counter Health Misinformation Among Older People: Protocol for a Scoping Review

Maryline Vivion, Valérie Reid, Valérie Trottier, Frédéric Bergeron, Isabelle Savard, Emilie Dionne, André Tourigny

JMIR Res Protoc 2025 (Jul 10); 14:e74138

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Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods Study

Patrick Baxter, Meng-Hao Li, Jiaxin Wei, Naoru Koizumi

JMIR Infodemiology 2025 (Jun 23); 5:e64509

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Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study

Hai Li, Jingyi Huang, Mengmeng Ji, Yuyi Yang, Ruopeng An

J Med Internet Res 2025 (Apr 30); 27:e66098

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Effective Recruitment or Bot Attack? The Challenge of Internet-Based Research Surveys and Recommendations to Reduce Risk and Improve Robustness

Liesje Donkin, Nathan Henry, Amy Kercher, Mangor Pedersen, Holly Wilson, Amy Hai Yan Chan

Interact J Med Res 2025 (Mar 14); 14:e60548

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Transformer-Based Tool for Automated Fact-Checking of Online Health Information: Development Study

Azadeh Bayani, Alexandre Ayotte, Jean Noel Nikiema

JMIR Infodemiology 2025 (Feb 21); 5:e56831

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Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study

Hsin-Yu Kuo, Su-Yen Chen

J Med Internet Res 2025 (Jan 23); 27:e65631

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2024

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From Doubt to Confidence—Overcoming Fraudulent Submissions by Bots and Other Takers of a Web-Based Survey

Jeffrey J Hardesty, Elizabeth Crespi, Joshua K Sinamo, Qinghua Nian, Alison Breland, Thomas Eissenberg, Ryan David Kennedy, Joanna E Cohen

J Med Internet Res 2024 (Dec 16); 26:e60184

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Comparing the Accuracy of Two Generated Large Language Models in Identifying Health-Related Rumors or Misconceptions and the Applicability in Health Science Popularization: Proof-of-Concept Study

Yuan Luo, Yiqun Miao, Yuhan Zhao, Jiawei Li, Yuling Chen, Yuexue Yue, Ying Wu

JMIR Form Res 2024 (Dec 02); 8:e63188

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Leveraging Chatbots to Combat Health Misinformation for Older Adults: Participatory Design Study

Wei Peng, Hee Rin Lee, Sue Lim

JMIR Form Res 2024 (Oct 11); 8:e60712

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Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study

Michael Robert Haupt, Luning Yang, Tina Purnat, Tim Mackey

JMIR Infodemiology 2024 (Sep 26); 4:e60678

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