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Supporting designers in modeling privacy for social network sites

Published: 03 November 2015 Publication History

Abstract

This paper addresses privacy related to individual's personal information disclosure in the context of Social Network Sites (SNSs). We present the Privacy Design Model (PDM) - built upon Altman's theory of privacy and Semiotic Engineering theory - as a descriptive model that takes into account dimensions corresponding to aspects upon which designers should reflect at design time, regarding personal information disclosure within these systems. PDM considers as personal information disclosure not only pieces of information about the individual, but also the individual's speech and activities that express his/her identity within the system. Thus, we hope to provide designers with a better understanding of how privacy can be treated in SNS by structuring the design space of personal information disclosure through such dimensions. We also analyze the applicability of the model, through the deconstruction of a real SNS in terms of the privacy dimensions proposed in PDM and discuss the implications of our findings.

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Cited By

View all
  • (2020)Analyzing the application of the privacy design model in WhatsAppProceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems10.1145/3424953.3426538(1-6)Online publication date: 26-Oct-2020
  • (2018)PrivacyProceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems10.1145/3274192.3274226(1-8)Online publication date: 22-Oct-2018
  • (2018)A Set of Privacy Inspection Techniques for Online Social NetworksProceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems10.1145/3274192.3274195(1-11)Online publication date: 22-Oct-2018

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Published In

cover image ACM Other conferences
IHC '15: Proceedings of the 14th Brazilian Symposium on Human Factors in Computing Systems
November 2015
514 pages
ISBN:9781450353625
DOI:10.1145/3148456
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 November 2015

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Author Tags

  1. HCI
  2. personal information disclosure
  3. privacy
  4. semiotic engineering

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  • Research-article

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  • CAPES, FAPEMIG,CNPq

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IHC 2015

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Overall Acceptance Rate 331 of 973 submissions, 34%

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Cited By

View all
  • (2020)Analyzing the application of the privacy design model in WhatsAppProceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems10.1145/3424953.3426538(1-6)Online publication date: 26-Oct-2020
  • (2018)PrivacyProceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems10.1145/3274192.3274226(1-8)Online publication date: 22-Oct-2018
  • (2018)A Set of Privacy Inspection Techniques for Online Social NetworksProceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems10.1145/3274192.3274195(1-11)Online publication date: 22-Oct-2018

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