Self-Disclosure in Online Interaction: A Meta-Analysis

Christine Bauer, Michael Schiffinger

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

Abstract

Using the Internet increasingly requires people to disclose personal information for various reasons such as establishing legitimacy, authentication, or providing personalized services. An enormous amount of literature analyzed various influencing variables that shape self-disclosure in online interaction. However, the range of studies considers very specific variables and therefore provides merely puzzle pieces of the field. This paper puts the pieces together by combining extant evidence into a meta-study. Results suggest that, while the overall effects of demographic, environmental, person- and system-based predictors are rather weak, self-disclosure can to some extent be influenced by system design.
Original languageEnglish
Title of host publication48th Hawaii International Conference on System Sciences (HICSS 2015)
Editors IEEE
Place of PublicationKauai, HI
PublisherIEEE
Pages3621 - 3630
ISBN (Print)1530-1605/15
DOIs
Publication statusPublished - 2015

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 508
  • 502050 Business informatics
  • 102015 Information systems
  • 102013 Human-computer interaction

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