Self-disclosure in online interaction: a meta-analysis

Christine Bauer, Michael Schiffinger

Research output: Contribution to conferencePaperAcademic

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
Pages3621-3630
Number of pages10
DOIs
Publication statusPublished - 2015
Event48th Hawaii International Conference on System Sciences - Kauai, United States
Duration: 5 Jan 20158 Jan 2015
Conference number: 48

Conference

Conference48th Hawaii International Conference on System Sciences
Abbreviated titleHICSS 2016
Country/TerritoryUnited States
CityKauai
Period5/01/158/01/15

Keywords

  • onilne self-disclosure meta-analysis

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