A tipping point? heightened self-disclosure during the coronavirus pandemic

Anna Squicciarini, Sarah Raitmaier, Prasanna Umar, Taylor Blose

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The COVID-19 crisis has raised numerous concerns amongst the privacy community, as research indicates emerging privacy risks. Here we frame those risks and focus, in particular, on what we have observed to be increased rate of self-disclosure on online social media. That is, individuals are sharing more personal information online in what appears to be an effort to stay connected with others during isolation and cope with additional stress. We outline a research agenda to further explore this finding and highlight the potential for this crisis to serve as a tipping point for self-disclosure norms more generally.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-146
Number of pages6
ISBN (Electronic)9781728141442
DOIs
StatePublished - Oct 2020
Event2nd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2020 - Virtual, Atlanta, United States
Duration: Dec 1 2020Dec 3 2020

Publication series

NameProceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020

Conference

Conference2nd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2020
CountryUnited States
CityVirtual, Atlanta
Period12/1/2012/3/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Software
  • Cognitive Neuroscience

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