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CrossRef Text and Data Mining |
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Understanding the COVID-19 Infodemic: Analyzing User-Generated Online Information During a COVID-19 Outbreak in Vietnam |
Ha-Linh Quach, Thai Quang Pham, Ngoc-Anh Hoang, Dinh Cong Phung, Viet-Cuong Nguyen, Son Hong Le, Thanh Cong Le, Dang Hai Le, Anh Duc Dang, Duong Nhu Tran, Nghia Duy Ngu, Florian Vogt, Cong-Khanh Nguyen |
Healthc Inform Res. 2022;28(4):307-318. Published online October 31, 2022 DOI: https://doi.org/10.4258/hir.2022.28.4.307 |
Understanding the COVID-19 Infodemic: Analyzing User-Generated Online Information During a COVID-19 Outbreak in Vietnam Can the Damage be Undone? Analyzing Misinformation during COVID-19 Outbreak in Indonesia Infodemic Disorder: Covid-19 and Post-truth Information disorders during the COVID-19 infodemic: The case of Italian Facebook Understanding the “infodemic”: social media news use, homogeneous online discussion, self-perceived media literacy and misperceptions about COVID-19 Knowledge, attitude, and practices (KAP) towards COVID-19 among Nepalese residents during the COVID-19 outbreak: An online cross-sectional study Toward analyzing the impact of healthcare treatments in industry 4.0 environment—a self-care case study during COVID-19 outbreak Infodemic: what physician leaders learned during the COVID-19 outbreak: a qualitative study The Effects of Receiving and Expressing Health Information on Social Media during the COVID-19 Infodemic: An Online Survey among Malaysians Online Shopping in Relationship with Perception, Attitude, and Subjective Norm during COVID-19 Outbreak: The Case of Vietnam |