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

Infodemiology and Infoveillance (1270) JMIR Theme Issue: COVID-19 Special Issue (2388)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22639, first published .
The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

Authors of this article:

Zhiwen Hu1 Author Orcid Image ;   Zhongliang Yang2 Author Orcid Image ;   Qi Li2 Author Orcid Image ;   An Zhang3 Author Orcid Image
Article Authors Cited by (37) Tweetations (3) Metrics

Journals

  1. Banerjee D, Meena K. RETRACTED: COVID-19 as an “Infodemic” in Public Health: Critical Role of the Social Media. Frontiers in Public Health 2021;9 View
  2. Koller J, Villinger K, Lages N, Brünecke I, Debbeler J, Engel K, Grieble S, Homann P, Kaufmann R, Koppe K, Oppenheimer H, Radtke V, Rogula S, Stähler J, Renner B, Schupp H. Stigmatization of Chinese and Asian-looking people during the COVID-19 pandemic in Germany. BMC Public Health 2021;21(1) View
  3. SeyyedHosseini S, BasirianJahromi R. COVID-19 pandemic in the Middle East countries: coronavirus-seeking behavior versus coronavirus-related publications. Scientometrics 2021;126(9):7503 View
  4. Rovetta A. The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends. JMIR Infodemiology 2021;1(1):e29929 View
  5. Rovetta A, Castaldo L. A new infodemiological approach through Google Trends: longitudinal analysis of COVID-19 scientific and infodemic names in Italy. BMC Medical Research Methodology 2022;22(1) View
  6. AYHAN BAŞER D, ALICI C, DEMİR B, BİŞKİNER E, OFLAZ A, FİDANCI İ, AKSOY H, CANKURTARAN M. Thoughts and attitudes of adults about medicines used for COVID-19; A descriptive study. Journal of Contemporary Medicine 2022;12(2):388 View
  7. Layug A, Krishnamurthy S, McKenzie R, Feng B. The Impacts of Social Media Use and Online Racial Discrimination on Asian American Mental Health: Cross-sectional Survey in the United States During COVID-19. JMIR Formative Research 2022;6(9):e38589 View
  8. Matamanda A, Nel V, Leboto-Khetsi L, Dunn M. Risk communication in an informal settlement during COVID-19: Case of Dinaweng, Bloemfontein South Africa. Urban Governance 2022;2(2):296 View
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  11. Harb M, Veiga e Silva L, Vijaykumar N, Silva da Silva M, Lisboa Frances C. The COVID-19 infodemic in Brazil: trends in Google search data. PeerJ 2022;10:e13747 View
  12. Lai A, Sit S, Lam S, Choi A, Yiu D, Lai T, Ip M, Lam T. A Phenomenological Study on the Positive and Negative Experiences of Chinese International University Students From Hong Kong Studying in the U.K. and U.S. in the Early Stage of the COVID-19 Pandemic. Frontiers in Psychiatry 2021;12 View
  13. Maccaro A, Piaggio D, Vignigbé M, Stingl A, Pecchia L. COVID-19 preparedness and social dynamics in a Sub-Saharan Africa country, Benin. Health Promotion International 2022;37(4) View
  14. Skarpa P, Garoufallou E. The plethora of information and individuals’ perceived feelings during COVID-19 pandemic in Greece. Global Knowledge, Memory and Communication 2024;73(4/5):538 View
  15. Izhar T, Torabi T. Online searching trend on Covid-19 using Google trend: infodemiological study in Malaysia. International Journal of Information Technology 2022;14(2):675 View
  16. Lloret-Pineda A, He Y, Haro J, Cristóbal-Narváez P. Types of Racism and Twitter Users’ Responses Amid the COVID-19 Outbreak: Content Analysis. JMIR Formative Research 2022;6(5):e29183 View
  17. Shang Y, Cai H, Wei Y. The impacts of infectious disease pandemic on China’s edible vegetable oil futures markets: A long-term perspective. Economic Research-Ekonomska Istraživanja 2023;36(1) View
  18. An L, Russell D, Mihalcea R, Bacon E, Huffman S, Resnicow K. Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study. JMIR Infodemiology 2021;1(1):e32127 View
  19. Cartier E, Onysko A, Winter-Froemel E, Zenner E, Andersen G, Hilberink-Schulpen B, Nederstigt U, Peterson E, van Meurs F. Linguistic repercussions of COVID-19: A corpus study on four languages. Open Linguistics 2022;8(1):751 View
  20. Harb M, Silva L, Vijaykumar N, Silva M, Francês C. An Analysis of the Deleterious Impact of the Infodemic during the COVID-19 Pandemic in Brazil: A Case Study Considering Possible Correlations with Socioeconomic Aspects of Brazilian Demography. International Journal of Environmental Research and Public Health 2022;19(6):3208 View
  21. Rovetta A, Castaldo L. Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis. JMIRx Med 2021;2(4):e32233 View
  22. Nichol B, McCready J, Steen M, Unsworth J, Simonetti V, Tomietto M, Abbasi-Kangevari M. Barriers and facilitators of vaccine hesitancy for COVID-19, influenza, and pertussis during pregnancy and in mothers of infants under two years: An umbrella review. PLOS ONE 2023;18(3):e0282525 View
  23. Maglia M, Signorelli M, Petralia A, Verduzzo I, Carmen C, Rodolico A, Di Piazza J, Caponnetto P. A Clinical Psychological View about Delusional Characterizations in Subjects with Schizophrenia Spectrum Disorder during the COVID-19 Period. Journal of Clinical Medicine 2023;12(7):2698 View
  24. Ezzeddine F, Ayoub O, Giordano S, Nogara G, Sbeity I, Ferrara E, Luceri L. Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls. EPJ Data Science 2023;12(1) View
  25. Abonizio H, Barbon A, Rodrigues R, Santos M, Martínez-Vizcaíno V, Mesas A, Barbon Junior S. How people interact with a chatbot against disinformation and fake news in COVID-19 in Brazil: The CoronaAI case. International Journal of Medical Informatics 2023;177:105134 View
  26. Sujoko A. Social scientist’s perspective on the reaction of the Indonesian government to COVID-19 in the first phase. Cogent Social Sciences 2023;9(2) View
  27. Liu L, Xu D, Zhao P, Zeng D, Hu P, Zhang Q, Luo Y, Cao Z. A cross-lingual transfer learning method for online COVID-19-related hate speech detection. Expert Systems with Applications 2023;234:121031 View
  28. Yang K, Tanaka M. Crowdsourcing Knowledge Production of COVID-19 Information on Japanese Wikipedia in the Face of Uncertainty: Empirical Analysis. Journal of Medical Internet Research 2023;25:e45024 View
  29. Frisch-Aviram N, Hasan-Aslih S, Halperin E. Communicating with ethnic minorities during COVID-19: An experimental test of the effect of self-, ingroup-, and intergroup-focused messages. Heliyon 2023;9(6):e16629 View
  30. Moitra S, Anderson A, Eathorne A, Brickstock A, Adan A, Akgün M, Tabrizi A, Haldar P, Henderson L, Jindal A, Jindal S, Kerget B, Khadour F, Melenka L, Moitra S, Moitra T, Mukherjee R, Murgia N, Semprini A, Turner A, Lacy P. COVID-19 infodemic and health-related quality of life in patients with chronic respiratory diseases: A multicentre, observational study. Journal of Global Health 2023;13 View
  31. Natraj S, Bhide M, Yap N, Liu M, Seth A, Berman J, Glorioso C. COVID-19 activity risk calculator as a gamified public health intervention tool. Scientific Reports 2023;13(1) View
  32. Marfo E, Manca T, Cha E, Aylsworth L, Driedger S, Meyer S, Pelletier C, Dubé È, MacDonald S. Intersecting Inequities in COVID-19 Vaccination: A Discourse Analysis of Information Use and Decision-Making Among Ethnically Diverse Parents in Canada. Journal of Racial and Ethnic Health Disparities 2024 View
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Books/Policy Documents

  1. Thompson J, Weldon J. Content Production for Digital Media. View
  2. Batu M, Tos O. New Normal in Digital Enterprises. View
  3. Hu Z, Chen Y. Big Data and Social Computing. View
  4. Thompson J, Weldon J. Produktion von Inhalten für digitale Medien. View