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

Infodemic Management (62) JMIR Theme Issue: COVID-19 Special Issue (2558) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1146) Machine Learning (2135) Quality/Credibility of eHealth Information and Trust Issues (660)

Published on in Vol 2, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38756, first published .
COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic

COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic

COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic

Authors of this article:

Nikhil Kolluri1 Author Orcid Image ;   Yunong Liu2 Author Orcid Image ;   Dhiraj Murthy3 Author Orcid Image
Article Authors Cited by (17) Tweetations (8) Metrics

Journals

  1. Brooks I, D’Agostino M, Marti M, McDowell K, Mejia F, Betancourt-Cravioto M, Gatzke L, Hicks E, Kyser R, Leicht K, Pereira dos Santos E, Saw J, Tomio A, Garcia Saiso S. An anti-infodemic virtual center for the Americas. Revista Panamericana de Salud Pública 2023;47:1 View
  2. Melton C, White B, Davis R, Bednarczyk R, Shaban-Nejad A. Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study. Journal of Medical Internet Research 2022;24(10):e40408 View
  3. Somani S, van Buchem M, Sarraju A, Hernandez-Boussard T, Rodriguez F. Artificial Intelligence–Enabled Analysis of Statin-Related Topics and Sentiments on Social Media. JAMA Network Open 2023;6(4):e239747 View
  4. Lösch L, Zuiderent-Jerak T, Kunneman F, Syurina E, Bongers M, Stein M, Chan M, Willems W, Timen A. Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study. Journal of Medical Internet Research 2023;25:e44461 View
  5. Pelletier C, Labbé F, Bettinger J, Curran J, Graham J, Greyson D, MacDonald N, Meyer S, Steenbeek A, Xu W, Dubé È. From high hopes to disenchantment: A qualitative analysis of editorial cartoons on COVID-19 vaccines in Canadian newspapers. Vaccine 2023;41(30):4384 View
  6. Haupt M, Chiu M, Chang J, Li Z, Cuomo R, Mackey T, Cresci S. Detecting nuance in conspiracy discourse: Advancing methods in infodemiology and communication science with machine learning and qualitative content coding. PLOS ONE 2023;18(12):e0295414 View
  7. Unlu A, Truong S, Sawhney N, Tammi T. Unveiling the Veiled Threat: The Impact of Bots on COVID-19 Health Communication. Social Science Computer Review 2025;43(4):675 View
  8. Haupt M, Yang L, Purnat T, Mackey T. Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study. JMIR Infodemiology 2024;4:e60678 View
  9. Frisli S. Semi-supervised self-training for COVID-19 misinformation detection: analyzing Twitter data and alternative news media on Norwegian Twitter. Journal of Computational Social Science 2025;8(2) View
  10. Li H, Huang J, Ji M, Yang Y, An R. Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study. Journal of Medical Internet Research 2025;27:e66098 View
  11. Frisli S. Language, Power, and Misinformation: A Mixed-Method Analysis of COVID-19 Discourses on Norwegian Twitter. Social Media + Society 2025;11(2) View
  12. Pavuloori M, Lin A, Mi M. Tools/instruments for assessing YouTube videos on surgical procedures for patient/consumer health education: a systematic review. Frontiers in Public Health 2025;13 View
  13. An M, Kim M, Kim J, Chang S, Lee D, Park R, Rafi H. Public perception and changing attitudes toward antidepressants over a decade in social media: Lessons learned from online discussion using artificial intelligence. PLOS One 2025;20(9):e0318464 View
  14. Parsa S, Somani S, Rogers A, Hernandez‐Boussard T, Jain S, Rodriguez F. Large Language Modeling–Enabled Analysis of Atrial Fibrillation on Social Media. Journal of the American Heart Association 2026;15(1) View

Conference Proceedings

  1. Devi N, Sharmila K. 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART). Infodemic Detection on Twitter During Pandemic Situation using LDA Topic Modelling View
  2. BALOYI M, RANANGA S, MBOOI M. 2025 IST-Africa Conference (IST-Africa). Fine-Tuning a Machine Learning Model to Detect Covid-19 Misinformation in Xitsonga View
  3. Thombre S, P K. 2025 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). Advances in Code Review and Bug Detection Using NLP View