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Track Iran's national COVID-19 response committee’s major concerns using two-stage unsupervised topic modeling
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References

  • 2020Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China9,922 cited
  • 2020A longitudinal study on the mental health of general population during the COVID-19 epidemic in China2,570 cited
  • 2020How to fight an infodemic2,340 cited
  • 2020The COVID-19 social media infodemic2,293 cited
  • 2020Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter899 cited
  • 2020Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis651 cited
  • 2020Corona Virus (COVID-19) “Infodemic” and Emerging Issues through a Data Lens: The Case of China575 cited
  • 2014Ebola, Twitter, and misinformation: a dangerous combination?348 cited
  • 2020Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach288 cited
  • 2020When fear and misinformation go viral: Pharmacists' role in deterring medication misinformation during the 'infodemic' surrounding COVID-19240 cited
  • 2020Rapid assessment of psychological and epidemiological correlates of COVID-19 concern, financial strain, and health-related behavior change in a large online sample175 cited
  • 2015Detecting themes of public concern: A text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat165 cited
  • 2016Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: An analysis of a Zika live Twitter chat

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100 cited
  • 2020Understanding the perception of COVID-19 policies by mining a multilanguage Twitter dataset98 cited
  • 2020Demand for Health Information on COVID-19 among Vietnamese97 cited
  • 2020Women Worry About Family, Men About the Economy: Gender Differences in Emotional Responses to COVID-1993 cited
  • Cited by

    • 2021Structural Topic Model Analysis of Mask-Wearing Issue Using International News Big Data9 cited