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

JMIR Theme Issue: COVID-19 Special Issue (2388) Infodemiology and Infoveillance (1269) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Outbreak and Pandemic Preparedness and Management (1673) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21933, first published .
Public Emotions and Rumors Spread During the COVID-19 Epidemic in China: Web-Based Correlation Study

Public Emotions and Rumors Spread During the COVID-19 Epidemic in China: Web-Based Correlation Study

Public Emotions and Rumors Spread During the COVID-19 Epidemic in China: Web-Based Correlation Study

Authors of this article:

Wei Dong1 Author Orcid Image ;   Jinhu Tao1 Author Orcid Image ;   Xiaolin Xia1 Author Orcid Image ;   Lin Ye2 Author Orcid Image ;   Hanli Xu3 Author Orcid Image ;   Peiye Jiang4 Author Orcid Image ;   Yangyang Liu1 Author Orcid Image
Article Authors Cited by (31) Tweetations (3) Metrics

Journals

  1. Wang D, Qian Y. Echo Chamber Effect in Rumor Rebuttal Discussions About COVID-19 in China: Social Media Content and Network Analysis Study. Journal of Medical Internet Research 2021;23(3):e27009 View
  2. Wang C, Chudzicka-Czupała A, Tee M, Núñez M, Tripp C, Fardin M, Habib H, Tran B, Adamus K, Anlacan J, García M, Grabowski D, Hussain S, Hoang M, Hetnał M, Le X, Ma W, Pham H, Reyes P, Shirazi M, Tan Y, Tee C, Xu L, Xu Z, Vu G, Zhou D, Chan N, Kuruchittham V, McIntyre R, Ho C, Ho R, Sears S. A chain mediation model on COVID-19 symptoms and mental health outcomes in Americans, Asians and Europeans. Scientific Reports 2021;11(1) View
  3. Li Q, Xia M, Guo X, Shi Y, Guan R, Liu Q, Cai Y, Lu H. Spatial characteristics and influencing factors of risk perception of haze in China: The case study of publishing online comments about haze news on Sina. Science of The Total Environment 2021;785:147236 View
  4. Khorram-Manesh A, Dulebenets M, Goniewicz K. Implementing Public Health Strategies—The Need for Educational Initiatives: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(11):5888 View
  5. Pian W, Chi J, Ma F. The causes, impacts and countermeasures of COVID-19 “Infodemic”: A systematic review using narrative synthesis. Information Processing & Management 2021;58(6):102713 View
  6. Abdeen M, Hamed A, Wu X. Fighting the COVID-19 Infodemic in News Articles and False Publications: The NeoNet Text Classifier, a Supervised Machine Learning Algorithm. Applied Sciences 2021;11(16):7265 View
  7. Lv W, Zhou W, Gao B, Han Y, Fang H. New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China. Frontiers in Public Health 2022;10 View
  8. Chiang Y, Chu M, Lin S, Cai X, Chen Q, Wang H, Li A, Rui J, Zhang X, Xie F, Lee C, Chen T. Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China. Frontiers in Psychology 2021;12 View
  9. Zhang C, Zhang D, Shao H. The softening of Chinese digital propaganda: Evidence from the People’s Daily Weibo account during the pandemic. Frontiers in Psychology 2023;14 View
  10. Chen S, Xiao L, Kumar A. Spread of misinformation on social media: What contributes to it and how to combat it. Computers in Human Behavior 2023;141:107643 View
  11. Bran R, Tiru L, Grosseck G, Holotescu C, Malita L. Learning from Each Other—A Bibliometric Review of Research on Information Disorders. Sustainability 2021;13(18):10094 View
  12. Gao H, Guo D, Yin H, Wu J, Cao Z, Li L. Strategies and effectiveness of the Chinese government debunking COVID-19 rumors on Sina Weibo: evaluating from emotions. Journal of Applied Communication Research 2022;50(6):632 View
  13. Ge P, Liu J, Han X, Wei S, He X, Tang Y, Xu X, Wang S, Bian Y, Wu Y. Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China. Health Promotion Perspectives 2021;11(3):288 View
  14. Tsang S, Zhao X, Chen Y. Assessing Mechanisms Underlying the Sharing of Official and Unofficial Information during a Pandemic. International Journal of Environmental Research and Public Health 2021;18(24):13298 View
  15. Pan W, Wang R, Dai W, Huang G, Hu C, Pan W, Liao S. China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data. Frontiers in Psychology 2021;12 View
  16. Delgado C, Silva E, Castro E, Carbogim F, Püschel V, Cavalcante R. COVID-19 infodemic and adult and elderly mental health: a scoping review. Revista da Escola de Enfermagem da USP 2021;55 View
  17. Yu W, Payton B, Sun M, Jia W, Huang G. Toward an integrated framework for misinformation and correction sharing: A systematic review across domains. New Media & Society 2023;25(8):2241 View
  18. Zeng Z, Sun S, Li Q. Multimodal negative sentiment recognition of online public opinion on public health emergencies based on graph convolutional networks and ensemble learning. Information Processing & Management 2023;60(4):103378 View
  19. Jiang X, Zhang N, Sun X, Yang S, Dong M, Yuan Y, Lin Y, Liu Z, Zhu Y, Zhao Q. Rumour type matters: The effect of different types of rumours on coping, subjective well‐being, and interpersonal trust during the COVID‐19 pandemic. Stress and Health 2023;39(5):1124 View
  20. Li Z, Wu X, Xu L, Liu M, Huang C. Hot Topic Recognition of Health Rumors Based on Anti-Rumor Articles on the WeChat Official Account Platform: Topic Modeling. Journal of Medical Internet Research 2023;25:e45019 View
  21. Zhou S, Yang X, Wang Y, Zheng X, Zhang Z. Affective agenda dynamics on social media: interactions of emotional content posted by the public, government, and media during the COVID-19 pandemic. Humanities and Social Sciences Communications 2023;10(1) View
  22. Liu J, Liu X, Lai K, Zhang X, Ma X. Exploring rumor behavior during the COVID-19 pandemic through an information processing perspective: The moderating role of critical thinking. Computers in Human Behavior 2023;147:107842 View
  23. Zhang X, Liu Y, Qin Z, Ye Z, Meng F. Understanding the role of social media usage and health self-efficacy in the processing of COVID-19 rumors: A SOR perspective. Data and Information Management 2023;7(2):100043 View
  24. Zhu Y, Zhang W, Li C. Modeling emotional contagion in the COVID-19 pandemic: a complex network approach. PeerJ Computer Science 2023;9:e1693 View
  25. Barredo Ibañez D, Jamil S, De la Garza Montemayor D. Disinformation and Artificial Intelligence: the Case of Online Journalism in China. Estudios sobre el Mensaje Periodístico 2023;29(4):761 View
  26. Wang Y, Qi L, Cai S. How can the collaborative participation of regulators, whistleblowers, and parties effectively promote rumor management in public health emergencies?. Frontiers in Public Health 2024;11 View
  27. Liu Z, Zhang T, Yang K, Thompson P, Yu Z, Ananiadou S. Emotion detection for misinformation: A review. Information Fusion 2024;107:102300 View
  28. Chen J, Song C, Xiao M, Nie H. The Richer, the Better? Users Perception of News Credibility of Short Video News. Journal of Broadcasting & Electronic Media 2024:1 View
  29. Liu X, Hu Q, Wang J, Wu X, Hu D. Difference in Rumor Dissemination and Debunking Before and After the Relaxation of COVID-19 Prevention and Control Measures in China: Infodemiology Study. Journal of Medical Internet Research 2024;26:e48564 View
  30. Zhao J, Liu H, Zhang W, Sun T, Chen Q, Wang Y, Cheng J, Zhuang Y, Zhang X, Zhang S, Li B, Ding R. Research on domain ontology construction based on the content features of online rumors. Scientific Reports 2024;14(1) View
  31. Shen C, Song Z, He P, Liu L, Xiong Z. Online rumors during the COVID-19 pandemic: co-evolution of themes and emotions. Frontiers in Public Health 2024;12 View