Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence.

Journal: Journal of medical Internet research
PMID: 33819167

Abstract

BACKGROUND: The COVID-19 pandemic has disrupted human societies around the world. This public health emergency was followed by a significant loss of human life; the ensuing social restrictions led to loss of employment, lack of interactions, and burgeoning psychological distress. As physical distancing regulations were introduced to manage outbreaks, individuals, groups, and communities engaged extensively on social media to express their thoughts and emotions. This internet-mediated communication of self-reported information encapsulates the emotional health and mental well-being of all individuals impacted by the pandemic.

Authors

  • Achini Adikari
    Research Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australia.
  • Rashmika Nawaratne
    Research Centre for Data Analytics and Cognition, School of Business, La Trobe University, Bundoora, Australia.
  • Daswin De Silva
    Research Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australia.
  • Sajani Ranasinghe
    Research Centre for Data Analytics and Cognition, La Trobe University, Melbourne, Australia.
  • Oshadi Alahakoon
    College of Engineering and Science, Victoria University, Heidelberg, Victoria, Australia.
  • Damminda Alahakoon
    Research Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australia.

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