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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21504, first published .
Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques

Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques

Communicative Blame in Online Communication of the COVID-19 Pandemic: Computational Approach of Stigmatizing Cues and Negative Sentiment Gauged With Automated Analytic Techniques

Journals

  1. Tsao S, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt Z. What social media told us in the time of COVID-19: a scoping review. The Lancet Digital Health 2021;3(3):e175 View
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  16. Chang A, Schulz P, Jiao W, Liu M. Obesity-Related Communication in Digital Chinese News From Mainland China, Hong Kong, and Taiwan: Automated Content Analysis. JMIR Public Health and Surveillance 2021;7(11):e26660 View
  17. Umana B, Vorstermans J, Lewa R, Garcia D, Malar J, Daftary A, Robinson J. Transforming the language used in tuberculosis care. PLOS Global Public Health 2023;3(3):e0001657 View
  18. Even D, Shvarts S. Understanding and addressing populations whose prior experience has led to mistrust in healthcare. Israel Journal of Health Policy Research 2023;12(1) View
  19. Wang S, English A, Deng Y, Zhou Y, Buchtel E. Stop the blame game: An analysis of blaming on Weibo during the early days of the COVID‐19 pandemic in rice and wheat areas in China. Social and Personality Psychology Compass 2023;17(12) View
  20. Chen D, Wang C, Liu Y. How household food shopping behaviors changed during COVID-19 lockdown period: Evidence from Beijing, China. Journal of Retailing and Consumer Services 2023;75:103513 View
  21. Liu M, Sun Y. Understanding Blame in the Context of Childhood Obesity. Health Communication 2024;39(9):1684 View
  22. Song L, Zhang A, Hu Z. Greenspace exposure is conducive to the resilience of public sentiment during the COVID-19 pandemic. Health & Place 2023;83:103096 View
  23. Angelakis A, Inwinkl P, Berndt A, Ozturkcan S, Zelenajova A, Rozkopal V. Gender differences in leaders’ crisis communication: a sentiment-based analysis of German higher education leaderships’ online posts. Studies in Higher Education 2024;49(4):609 View
  24. Li Y, Chen M, Lee H. Health communication on social media at the early stage of the pandemic: Examining health professionals’ COVID-19 related tweets. Social Science & Medicine 2024;347:116748 View
  25. Xian X, Neuwirth R, Chang A. Government-Nongovernmental Organization (NGO) Collaboration in Macao’s COVID-19 Vaccine Promotion: Social Media Case Study. JMIR Infodemiology 2024;4:e51113 View
  26. Zhu J, Shan L, Limongi R. Netographic narratives of user-generated travelogues on tourist destination image of Thailand. PLOS ONE 2024;19(5):e0301582 View
  27. Afifi S, Yaman A, Bakti I, Sumaedi S. Health communication and social media: Asian perspective. Global Knowledge, Memory and Communication 2024 View
  28. Kepp K, Bardosh K, De Bie T, Emilsson L, Greaves J, Lallukka T, Muka T, Rangel J, Sandström N, Schippers M, Schmidt-Chanasit J, Vaillancourt T. Zero-covid advocacy during the COVID-19 pandemic: a case study of views on Twitter/X. Monash Bioethics Review 2024 View