What does your profile really say about you? Privacy warning systems and self-disclosure in online social network spaces

Lia Emanuel, Chris Bevan, Duncan Hodges

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

12 Citations (Scopus)
40 Downloads (Pure)

Abstract

This paper reports current progress on the design and initial evaluation of an innovative privacy feedback system aimed to provide social network users with tailor-made feedback about their identity exposure online. Preliminary results suggest our feedback system, based on a research driven model of identity, appears to reduce the amount of information individuals disclose about themselves in social network spaces. We discuss the impact of our feedback system on the way individuals share information online, as well as suggestions for a more fine-grained evaluation and future development of this feedback system.
Original languageEnglish
Title of host publicationCHI '13 Extended Abstracts on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages799-804
Number of pages6
ISBN (Print)9781450319522
DOIs
Publication statusPublished - May 2013
EventACM SIGCHI Conference on Human Factors in Computing Systems (CHI2013) - Paris, France
Duration: 29 Apr 20132 May 2013

Conference

ConferenceACM SIGCHI Conference on Human Factors in Computing Systems (CHI2013)
CountryFrance
CityParis
Period29/04/132/05/13

Keywords

  • online privacy
  • indentity information
  • social network sites
  • feedback systems

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Psychology(all)

Fingerprint Dive into the research topics of 'What does your profile really say about you? Privacy warning systems and self-disclosure in online social network spaces'. Together they form a unique fingerprint.

  • Cite this

    Emanuel, L., Bevan, C., & Hodges, D. (2013). What does your profile really say about you? Privacy warning systems and self-disclosure in online social network spaces. In CHI '13 Extended Abstracts on Human Factors in Computing Systems (pp. 799-804). Association for Computing Machinery. https://doi.org/10.1145/2468356.2468499