Relative importance of determinants towards users' privacy disclosure on social network sites by privacy invasion experience based on construal level theory

L. T. Huang, J. D. Leu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Even users know the privacy risks of information disclosure, many still fail to adopt protection mechanisms or decrease information disclosure behavior on social network sites (SNSs). We explain this phenomenon by considering users' rational calculus, affection, as well as perception towards platform. The awareness towards privacy leaks gradually fades out with the time passing. Accordingly, we proposed that users' self-disclosure behaviors on SNSs are a decision-making process determined by individual rational, emotional, or situational factors. Users' choices of persuasion routes depend on psychological distance of privacy invasion events based on the perspective of construal level theory. Results from analyzing collected 241 usable records show three findings. First, users' decision of privacy disclosure is based on institutional trust and cognitive absorption, rather than perceived benefits. Second, cognitive absorption influenced by perceived playfulness is critical to privacy disclosure behavior. The influence of cognitive absorption on privacy disclosure varies from the time period of personal bad experience happened. Third, the influence of trust on privacy disclosure is getting more important when users have bad experience and when users have modified privacy settings.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
PublisherIEEE Computer Society
Pages465-469
Number of pages5
ISBN (Electronic)9781538672204
DOIs
StatePublished - 14 Dec 2020
Event2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020 - Virtual, Singapore, Singapore
Duration: 14 Dec 202017 Dec 2020

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2020-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
Country/TerritorySingapore
CityVirtual, Singapore
Period14/12/2017/12/20

Keywords

  • Cognitive absorption
  • Construal level theory
  • Institutional trust
  • Perceived value
  • Previous privacy invasion
  • Privacy disclosure

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