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

Infodemiology and Infoveillance (1565) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1142) Theme Issue: Mpox Outbreak Rapid Reports (8) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1924) Public (e)Health, Digital Epidemiology and Public Health Informatics (1021) Quality/Credibility of eHealth Information and Trust Issues (657) Behavioural Surveillance for Public Health (294) Infodemic Management (60)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43841, first published .
Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Authors of this article:

Andy Edinger1, 2 Author Orcid Image ;   Danny Valdez3 Author Orcid Image ;   Eric Walsh-Buhi3 Author Orcid Image ;   Jennifer S Trueblood2, 4 Author Orcid Image ;   Lorenzo Lorenzo-Luaces4 Author Orcid Image ;   Lauren A Rutter4 Author Orcid Image ;   Johan Bollen1, 2 Author Orcid Image
Article Authors Cited by (44) Tweetations (26) Metrics

Journals

  1. Starvaggi I, Dierckman C, Lorenzo-Luaces L. Mental health misinformation on social media: Review and future directions. Current Opinion in Psychology 2024;56:101738 View
  2. Thakur N, Cui S, Khanna K, Knieling V, Duggal Y, Shao M. Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis. Computers 2023;12(11):221 View
  3. Thakur N, Patel K, Poon A, Shah R, Azizi N, Han C. A Comprehensive Analysis and Investigation of the Public Discourse on Twitter about Exoskeletons from 2017 to 2023. Future Internet 2023;15(10):346 View
  4. V. Levitt C, K. Tran Q, Hraky H, Mazer-Amirshahi M, Pourmand A. Emergency department approach to monkeypox. World Journal of Emergency Medicine 2023;14(5):341 View
  5. Walsh-Buhi E, Walsh-Buhi M, Houghton R. Mpox knowledge in the U.S.: Results from a nationally representative survey. Journal of Infection and Public Health 2024;17(2):359 View
  6. Theijeswini R, Basu S, Swetha R, Tharmalingam J, Ramaiah S, Calaivanane R, Sreedharan V, Livingstone P, Anbarasu A. Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future. Health and Technology 2024;14(2):251 View
  7. McKinley C, Choi J, Luo Y. Expressing Uncertainty and Risk About the Mpox Outbreak: A Textual Analysis of Twitter Messaging. Communication Studies 2024;75(3):283 View
  8. Cheung D, Chen S, Fang Y, Sun F, Zhang Q, Yu F, Mo P, Wang Z. Influences of mpox disease perceptions, sources and contents of information exposure on mpox vaccine uptake among gay, bisexual, and other men who have sex with men in Hong Kong, China. Vaccine 2024;42(9):2337 View
  9. Chen K, Zhao Y, Song N, Han Y, Peng J, Wang J. You are not alone: Characterizing users' relationship‐layer identities in online health communities. Journal of the Association for Information Science and Technology 2024;75(7):807 View
  10. Samaran R, Samaran Q, Kluger N. Les réseaux sociaux en dermatologie. Annales de Dermatologie et de Vénéréologie - FMC 2024;4(3):212 View
  11. Zhao Y, Zhang L. Getting better? Examining the effects of social support in OHCs on users’ emotional improvement. Information Processing & Management 2024;61(4):103754 View
  12. Takenaka B, Kirklewski S, Griffith F, Gibbs J, Lauckner C, Nicholson E, Tengatenga C, Hansen N, Kershaw T. “It’s another gay disease”: an intersectional qualitative approach contextualizing the lived experiences of young gay, bisexual, and other sexual minoritized men in the United States during the mpox outbreak. BMC Public Health 2024;24(1) View
  13. Yan X, Li Z, Cao C, Huang L, Li Y, Meng X, Zhang B, Yu M, Huang T, Chen J, Li W, Hao L, Huang D, Yi B, Zhang M, Zha S, Yang H, Yao J, Qian P, Leung C, Fan H, Jiang P, Shui T. Characteristics, Influence, Prevention, and Control Measures of the Mpox Infodemic: Scoping Review of Infodemiology Studies. Journal of Medical Internet Research 2024;26:e54874 View
  14. Huang S, Zhou J, Li Q, Zhang Y, Xu Y, Li Y, Xiao Y, Ma W, He L, Ren X, Dai Z, Sun J, Jiao K, Cheng F, Liang W, Xin M, Luo S. Media Literacy and Its Potential Influence on Mpox-Related Perceptions and Prevention Intentions in China During the 2022 Multi-Country Outbreak of Mpox. Health Communication 2025;40(7):1341 View
  15. Carpino T, Atkins K, Abara W, Edwards O, Lansky A, DiNenno E, Hannah M, Delaney K, Murray S, Sanchez T, Baral S. Mpox and Vaccine Knowledge, Beliefs, and Sources of Trusted Information Among Gay, Bisexual, and Other Men Who Have Sex With Men in the U.S.. AJPM Focus 2024;3(6):100267 View
  16. Petrov E, Sarkisova A, Dunaeva D, Voronov A, Myagkov M. Methodology for extracting narratives from social media big data. MIR (Modernization. Innovation. Research) 2024;15(3):404 View
  17. Araújo F, Rodrigues S, Carvalho T, Sousa D, Tenório M, Martins-Filho P. Misinformation, disinformation, and fake news amid the new global Mpox emergency. Revista Panamericana de Salud Pública 2024;48:1 View
  18. Fan L, Li L, Hemphill L. Toxicity on Social Media During the 2022 Mpox Public Health Emergency: Quantitative Study of Topical and Network Dynamics. Journal of Medical Internet Research 2024;26:e52997 View
  19. Muncaster K, Masterman C, Barnett T, Kozak R, Mandel E, Campbell K, Biondi MJ M. A retrospective chart review and thematic analysis of patients seeking mpox vaccination during the initial outbreak in 2022–2023: evaluation of access, motivations, and stigma. BMC Public Health 2024;24(1) View
  20. Mvuyekure A, Muhayimana D, MVuyekure S, Tuyishime J. Knowledge of Mpox, Media Exposure, and Clinical Experience:. Pan-African Journal of Health and Environmental Science 2024;3(2):74 View
  21. Zhang F, Pan Z, Luo B, Hu Q. Nurture over nature? The effects of inferred personality traits and structural social capital on individual resilience. Telematics and Informatics 2025;98:102249 View
  22. A. Rutter L, Edinger A, Lorenzo-Luaces L, ten Thij M, Valdez D, Bollen J. Anxiety and Depression are Associated with More Distorted Thinking on Social Media: A Longitudinal Multi-Method Study. Cognitive Therapy and Research 2025;49(4):712 View
  23. Faus M, Alonso F, Esteban C, Velarte J. More Sustainable but More Dangerous Cities: The Role of Communication Campaigns in Protecting Vulnerable Road Users. Sustainability 2025;17(5):2002 View
  24. Abou Chawareb E, Im B, Lu S, Hammad M, Huang T, Chen H, Yafi F. Sexual health in the era of artificial intelligence: a scoping review of the literature. Sexual Medicine Reviews 2025;13(2):267 View
  25. Diaz-Brochero C, Barriga M, Ramirez J, Quevedo D, Gomez G, Mateus J, Nino-Machado N, Cuervo-Rojas J, Cucunubá Z. Mpox knowledge, risk perception, attitudes and willingness to vaccinate in Colombia's LGBTIQ+ communities: Online survey (CoSex). Travel Medicine and Infectious Disease 2025;65:102848 View
  26. Masvawure T. Knowing Well, Being Well: well-being born of understanding: Introduction to the Special Collection on Qualitative Methods and Health Promotion. American Journal of Health Promotion 2025;39(4):679 View
  27. Mantell J, Masvawure T, Gonzalez-Argoti T, Oga-Omenka C, Radix A, Bauman L. Beyond Numbers: Opportunities and Challenges Using Qualitative Methods in Social Media Studies of PrEP Discourse. American Journal of Health Promotion 2025;39(4):692 View
  28. Cheung D, Xie L, Wang L, Chen S, Li X, Zhang Z, Chen X, Ge S, Yu F, Fang Y, Chen Z, Li Z, Sun F, Mo P, Liu Y, Wang Z. How Information Exposure Shapes Risk Perceptions and Vaccination Intentions Among Gay, Bisexual, and Other Men Who Have Sex With Men: Cross-Sectional Survey Study. JMIR Public Health and Surveillance 2025;11:e70635 View
  29. Ahmed W, Hardey M, Yavetz G. Health information communication and advocacy in the haemophilia community: an X-based analysis. Journal of Documentation 2025;81(4):927 View
  30. Mohammad I, Khan M, Ansari R, Bari N, Anwar M. Intersecting Pandemics: Analyzing the Relationship between Mpox and COVID-19 Authors and Departments:. THE NEW ARMENIAN MEDICAL JOURNAL 2025:4 View
  31. Noah O, Okunlola P, Ujunwa D, Agbo C, Akpegah G, Mayungbo B, Tundealao S. Evaluation of consumer health information about monkeypox on X (formerly Twitter). Journal of Public Health 2025 View
  32. Scalvini M, Fletcher S. The economy of suffering during the mpox crisis. Information, Communication & Society 2025;28(13):2413 View
  33. Yu Q, Hong J. The Application of Deep Learning and Artificial Intelligence for Media Influence of News Portal. International Journal of Information Technologies and Systems Approach 2025;18(1):1 View
  34. Boyce M, Gordon M, Piltch-Loeb R, Katz R. Chicago Public Health Department Social Media Communications on Twitter During the COVID-19 Pandemic and the Mpox Epidemic: Cross-Sectional Content Analysis. Journal of Medical Internet Research 2025;27:e68200 View
  35. Paterson A, Cheyne A, Tulunay H, Orkin C, Nutland W, Dunning J, Stolow J, Gobat N, Olliaro P, Rojek A. Mpox stigma in the UK and implications for future outbreak control: a cross-sectional mixed methods study. BMC Medicine 2025;23(1) View
  36. Woldegerima W, Ugwu C. Bayesian hierarchical modeling of Mpox in the African region (2022–2024): Addressing zero-inflation and spatial autocorrelation. Infectious Disease Modelling 2025;10(4):1575 View
  37. Ahmed K, Sarkar S, Masum A, Khan M, Hossain Z, Miah I, Mahmud F. XceptMPX: A Robust Deep Learning-Powered Web System for Mpox Detection and Classification. IEEE Access 2025;13:150970 View
  38. Olawade D, Ezeagu C, Alisi C, Clement David-Olawade A, Eniola D, Akingbala T, Wada O. AI-driven strategies for enhancing Mpox surveillance and response in Africa. Journal of Virological Methods 2026;339:115270 View
  39. Cianciulli A, Santoro E, Manente R, Pacifico A, Quagliarella S, Bruno N, Schettino V, Boccia G. Artificial Intelligence and Digital Technologies Against Health Misinformation: A Scoping Review of Public Health Responses. Healthcare 2025;13(20):2623 View
  40. Feng X, Luo J, Yang Y, El Baz D, Shi L. Health Misinformation Detection: Approaches, Challenges and Opportunities. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2025;62 View
  41. Warin T, Melchior C, de Marcellis-Warin N. Social Media Metrics and Popular Legitimacy: Content Analysis of Pre– and Post–COVID-19 Public Engagement With the World Health Organization on X. Journal of Medical Internet Research 2025;27:e69959 View

Books/Policy Documents

  1. Coker D, Al-Ahdal T. The Scientific Basis of Mpox (Monkeypox). View

Conference Proceedings

  1. Shang L, Zhang Y, Chen B, Zong R, Yue Z, Zeng H, Wei N, Wang D. Proceedings of the ACM Web Conference 2024. MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection View
  2. Seemanta S, Shakir M, Das R, Ullah Miah M, Rahman M, Mahmud M. 2025 International Joint Conference on Neural Networks (IJCNN). Topic Modeling of Mpox-related Instagram Posts: Understanding Public Perception over Time View