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

Infodemiology and Infoveillance (1334) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1032) Mass Media/Social Media Communication and Campaigns (458) Outbreak and Pandemic Preparedness and Management (1715)

Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19118, first published .
Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach

Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach

Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach

Authors of this article:

Qian Liu1, 2 Author Orcid Image ;   Zequan Zheng3, 4 Author Orcid Image ;   Jiabin Zheng3, 4 Author Orcid Image ;   Qiuyi Chen1 Author Orcid Image ;   Guan Liu5 Author Orcid Image ;   Sihan Chen3 Author Orcid Image ;   Bojia Chu3 Author Orcid Image ;   Hongyu Zhu3 Author Orcid Image ;   Babatunde Akinwunmi6, 7 Author Orcid Image ;   Jian Huang8 Author Orcid Image ;   Casper J P Zhang9 Author Orcid Image ;   Wai-Kit Ming3 Author Orcid Image
Article Authors Cited by (159) Tweetations (38) Metrics

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  126. Dong Y, Liang C, Chen Y, Hua J. A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets. Computational Visual Media 2024;10(1):161 View
  127. Oh Y, Kim J. Insights Into Korean Public Perspectives on Urology: Online News Data Analytics Through Latent Dirichlet Allocation Topic Modeling. International Neurourology Journal 2023;27(Suppl 2):S91 View
  128. Sandu A, Cotfas L, Delcea C, Crăciun L, Molănescu A. Sentiment Analysis in the Age of COVID-19: A Bibliometric Perspective. Information 2023;14(12):659 View
  129. C. P, P. M. D. An Efficient CSPK-FCM Explainable Artificial Intelligence Model on COVID-19 Data to Predict the Emotion Using Topic Modeling. Journal of Advances in Information Technology 2023;14(6):1390 View
  130. Nyandeni S, Mulaudzi F, Anokwuru R. Lived experiences of nurses working in the clinical setting during Covid-19, in Ekurhuleni, Gauteng Province, South Africa. International Journal of Africa Nursing Sciences 2024;20:100653 View
  131. Xiao L, Ju C, Shiau W. How patients evaluate physicians in live Video: An empirical study from a dual process perspective. Journal of Business Research 2024;173:114471 View
  132. Barnabas B, Bavorova M, Madaki M, Kächele H. Food safety knowledge, attitudes, and practices of food vendors participating in Nigeria’s school feeding program. Journal of Consumer Protection and Food Safety 2024;19(2):199 View
  133. Yin S, Chen S, Ge Y. Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study. JMIR Infodemiology 2024;4:e49756 View
  134. Wu F, Yang T, Zhang C, Yu Y, Xu D. Internet-Based Media as Information Sources in Risk Communication: Comparing Three Media Sources During COVID-19 Pandemic. Journalism Practice 2024:1 View
  135. Claes M, Farooq U, Salman I, Teern A, Isomursu M, Halonen R. Sentiment Analysis of Finnish Twitter Discussions on COVID-19 During the Pandemic. SN Computer Science 2024;5(2) View
  136. van de Baan F, Gifford R, Ruwaard D, Fleuren B, Westra D. Newspaper Coverage of Hospitals During a Prolonged Health Crisis: Longitudinal Mixed Methods Study. JMIR Public Health and Surveillance 2024;10:e48134 View
  137. Kusuma I, Suherman S. The Pulse of Long COVID on Twitter: A Social Network Analysis. Archives of Iranian Medicine 2024;27(1):36 View
  138. Bolaji D, Wu Y, Akintunde T. Decomposing Cultural Adaptation and Social Support in Relation to New Media Use and Psychological Well-Being Among Immigrants: a Chain Mediation Model. Applied Research in Quality of Life 2024;19(4):1525 View
  139. Batool A, Byun Y. Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation. IEEE Access 2024;12:81206 View
  140. Trizotto R, Nascimento L, da Silva J, Zawislak P. Sustainability, business strategy and innovation: a thematic literature review. Sustainability Accounting, Management and Policy Journal 2024 View
  141. Tian X. How Government Actions Influence People’s Intentions to Share on Social Media During Shanghai’s Lockdown for COVID-19: A Third-Person Effect Perspective. Sage Open 2024;14(3) View
  142. Mirzaei T, Amini L, Esmaeilzadeh P. Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications. BMC Medical Informatics and Decision Making 2024;24(1) View
  143. AbuRaed A, Prikryl E, Carenini G, Janjua N. Long COVID Discourse in Canada, the US, and Europe: Analysis Using Topic Modeling and Sentiment Analysis on Twitter Data (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Mehrotra R, Garg O, Gupta S, Singh A. Advances in Data and Information Sciences. View
  2. Verma S, Garg S, Chamoli T, Gupta A. Data Engineering for Smart Systems. View
  3. Ugbo G, Chinedu-Okeke C, Ogbodo J. Health Crises and Media Discourses in Sub-Saharan Africa. View
  4. Thakur O, Saritha S, Jain S. Machine Learning, Image Processing, Network Security and Data Sciences. View
  5. . Crisis Communication in China. View
  6. Wang Z, Andriano-Moore S. Coping with COVID-19, the Mobile Way. View
  7. Cheng C, Espanha R. Advances in Design and Digital Communication II. View
  8. Juanals B, Minel J. Advances in Computational Collective Intelligence. View
  9. Shahriar K, Anwar M, Sarker I. Machine Intelligence and Emerging Technologies. View