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During the COVID-19 pandemic, Zoom use in education revealed varied user responses to security risks. Three patterns emerged: Agnostic, Pragmatic, and Sceptic, influenced by social factors and privacy calculus.

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Area of Science:

  • Information Science
  • Social Science
  • Cybersecurity

Background:

  • Digital platforms like Zoom became crucial for remote work during the COVID-19 pandemic.
  • Simultaneously, significant security and privacy concerns surrounding Zoom usage gained public attention.

Purpose of the Study:

  • To investigate the diverse user responses to documented security risks associated with Zoom in educational settings.
  • To identify distinct patterns of privacy decision-making regarding Zoom use for remote work.

Main Methods:

  • Utilized the theoretical frameworks of Naturalistic Decision-making and the Theory of Multilevel Information Privacy.
  • Analyzed user responses to identify distinct patterns and influencing factors in privacy decision-making.

Main Results:

  • Identified three distinct response patterns to Zoom's security risks: 'Agnostic', 'Pragmatic', and 'Sceptic'.
  • Demonstrated that social identity, personal privacy norms, and privacy calculus dynamics influence these decision-making patterns.
  • Provided empirical evidence for multilevel decision-making in privacy contexts.

Conclusions:

  • Privacy decision-making regarding digital platforms is context-dependent and socially influenced.
  • User responses to security risks are shaped by a combination of individual norms, social factors, and ongoing public discourse.