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
  2. Nguyen T, Croucher S, Diers-Lawson A, Maydell E. Who’s to blame for the spread of COVID-19 in New Zealand? Applying attribution theory to understand public stigma. Communication Research and Practice 2021;7(4):379 View
  3. Gao B, Liu M, Chu R. Information disclosing willingness in mobile internet contexts. Asia Pacific Journal of Marketing and Logistics 2023;35(1):108 View
  4. Chang A, Xian X, Liu M, Zhao X. Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses. International Journal of Environmental Research and Public Health 2022;19(10):6159 View
  5. Faruk M, Devnath P, Kar S, Eshaa E, Naziat H. Perception and determinants of Social Networking Sites (SNS) on spreading awareness and panic during the COVID-19 pandemic in Bangladesh. Health Policy OPEN 2022;3:100075 View
  6. Jiao W, Xiang Y, Chang A. Are Foods from the COVID-19 Pandemic Lockdown Low in Nutrients? An Analysis of Chinese Psychological Distress Effects. Nutrients 2022;14(21):4702 View
  7. Jiao W, Liu M, Schulz P, Chang A. Impacts of Self-Efficacy on Food and Dietary Choices during the First COVID-19 Lockdown in China. Foods 2022;11(17):2668 View
  8. Bouguettaya A, Walsh C, Team V. Social and Cognitive Psychology Theories in Understanding COVID-19 as the Pandemic of Blame. Frontiers in Psychology 2022;12 View
  9. Quach H, Pham T, Hoang N, Phung D, Nguyen V, Le S, Le T, Bui T, Le D, Dang A, Tran D, Ngu N, Vogt F, Nguyen C, Sung W. Using ‘infodemics’ to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July—September 2020. PLOS ONE 2022;17(4):e0266299 View
  10. Liu P, Chang A, Liu M, Ye J, Jiao W, Ao H, Hu W, Xu K, Zhao X. Effect of information encounter on concerns over healthy eating– mediated through body comparison and moderated by body mass index or body satisfaction. BMC Public Health 2023;23(1) View
  11. Evans S, Jones R, Alkan E, Sichman J, Haque A, de Oliveira F, Mougouei D, Yan Z. The Emotional Impact of COVID-19 News Reporting: A Longitudinal Study Using Natural Language Processing. Human Behavior and Emerging Technologies 2023;2023:1 View
  12. Jones R, Mougouei D, Evans S. Understanding the emotional response to COVID‐19 information in news and social media: A mental health perspective. Human Behavior and Emerging Technologies 2021;3(5):832 View
  13. Talawanich S, Pongwat A. Post-pandemic crisis communication strategy for the domestic market of Thai urban beach city. Asia Pacific Journal of Tourism Research 2022;27(10):1095 View
  14. Kartono R, Salahudin , Sihidi I. Covid-19 stigmatization: A systematic literature review. Journal of Public Health Research 2022;11(3):227990362211157 View
  15. Li X, English A, Kulich S, Pikhart M. Anger among Chinese migrants amid COVID-19 discrimination: The role of host news coverage, cultural distance, and national identity. PLOS ONE 2021;16(11):e0259866 View
  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