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

Misinformation and Disinformation Outbreaks and Information Prevalence Studies (44) JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32378, first published .
Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale

Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale

Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale

Authors of this article:

Emily Chen1, 2 Author Orcid Image ;   Julie Jiang1, 2 Author Orcid Image ;   Ho-Chun Herbert Chang3 Author Orcid Image ;   Goran Muric1 Author Orcid Image ;   Emilio Ferrara1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (24) Tweetations (32) Metrics

Journals

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  2. Jiang H, Castellanos A, Castillo A, Gomes P, Li J, VanderMeer D. Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions. JMIR Nursing 2023;6:e40676 View
  3. Pierri F, DeVerna M, Yang K, Axelrod D, Bryden J, Menczer F. One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study. Journal of Medical Internet Research 2023;25:e42227 View
  4. Niu Q, Liu J, Kato M, Shinohara Y, Matsumura N, Aoyama T, Nagai-Tanima M. Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis. JMIR Infodemiology 2022;2(1):e32335 View
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  7. Xia X, Zhang Y, Jiang W, Wu C. Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders. Journal of Medical Internet Research 2023;25:e45757 View
  8. Isip Tan I, Cleofas J, Solano G, Pillejera J, Catapang J. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134 View
  9. Bacon E, An L, Yang P, Hawley S, Van Horn M, Resnicow K. Novel Psychosocial Correlates of COVID-19 Vaccine Hesitancy: Cross-Sectional Survey. JMIR Formative Research 2023;7:e45980 View
  10. Broughton Micova S, Calef A. Elements for Effective Systemic Risk Assessment Under the DSA. SSRN Electronic Journal 2023 View
  11. Pierri F, Luceri L, Chen E, Ferrara E. How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical events. EPJ Data Science 2023;12(1) View
  12. Tai Y, Buma R, Desmarais B. Official yet questionable: examining misinformation in U.S. state legislators’ tweets. Journal of Information Technology & Politics 2024;21(4):597 View
  13. Chang H, Pham B, Ferrara E. Parasocial diffusion: K-pop fandoms help drive COVID-19 public health messaging on social media. Online Social Networks and Media 2023;37-38:100267 View
  14. Low M, Feng Y. Content Analysis of Food Safety Information in Apple-Drying Recipes from YouTube, Blogs, Cookbooks, and Extension Materials. Foods 2024;13(5):778 View
  15. Kanilmaz U, Resch B, Holzinger R, Wasner C, Steinmaurer T. The Spatial Structures in the Austrian COVID-19 Protest Movement: A Virtual and Geospatial User Network Analysis. Social Sciences 2024;13(6):282 View
  16. Allen J, Watts D, Rand D. Quantifying the impact of misinformation and vaccine-skeptical content on Facebook. Science 2024;384(6699) View
  17. Zhou S, Peng J, Ferrara E. Tracing the Unseen: Uncovering Human Trafficking Patterns in Job Listings. SSRN Electronic Journal 2024 View
  18. Wu F, Chen G, Cao J, Yan Y, Li Z. Multimodal Hateful Meme Classification Based on Transfer Learning and a Cross-Mask Mechanism. Electronics 2024;13(14):2780 View
  19. Landsmann L, Borodova A, Rocha C, Diallo A, Diallo K, Borchert M, Arvand M, Diallo M, Wood R, Müller S. Healthcare workers’ knowledge, attitude and practices on infection prevention and control in the context of the COVID-19 pandemic at the Faranah regional hospital and associated healthcare centers, Guinea. Antimicrobial Resistance & Infection Control 2024;13(1) View
  20. Alasmari A, Addawood A, Nouh M, Rayes W, Al-Wabil A. A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia. Future Internet 2021;13(10):254 View