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 language | English |
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Title of host publication | CHI '13 Extended Abstracts on Human Factors in Computing Systems |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 799-804 |
Number of pages | 6 |
ISBN (Print) | 9781450319522 |
DOIs | |
Publication status | Published - May 2013 |
Event | ACM SIGCHI Conference on Human Factors in Computing Systems (CHI2013) - Paris, France Duration: 29 Apr 2013 → 2 May 2013 |
Conference
Conference | ACM SIGCHI Conference on Human Factors in Computing Systems (CHI2013) |
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Country/Territory | France |
City | Paris |
Period | 29/04/13 → 2/05/13 |
Keywords
- online privacy
- indentity information
- social network sites
- feedback systems
ASJC Scopus subject areas
- Human-Computer Interaction
- General Psychology