extended-abstract

Generating default privacy policies for online social networks

Authors:

Eran Toch,

Norman M. Sadeh,

Jason HongAuthors Info & Claims

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

Pages 4243 - 4248

https://doi.org/10.1145/1753846.1754133

Published: 10 April 2010 Publication History

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Abstract

Default privacy policies have a significant impact on the overall dynamics and success of online social networks, as users tend to keep their initial privacy policies. In this work-in-progress, we present a new method for suggesting privacy policies for new users by exploring knowledge of existing policies. The defaults generation process performs a collaborative analysis of the policies, finding personalized and representative suggestions. We show how the process can be extended to a wide range of domains, and present results based on 543 privacy policies obtained from a live location-based social network. Finally, we present a user interaction model that lets the user retain control over the default policies, allowing the user to make knowledgeable decisions regarding which default policy to take.

References

[1]

Bonneau, J., and Preibusch, S. The privacy jungle: On the market for data protection in social networks. In The Eighth Workshop on the Economics of Information Security (2009).

Google Scholar

[2]

Gross, R., Acquisti, A., and Heinz, H. J. Information revelation and privacy in online social networks. In Proceedings of the 2005 ACM Workshop on Privacy in the Electronic Society (2005).

Digital Library

Google Scholar

[3]

Hill, W., Stead, L., Rosenstein, M., and Furnas, G. Recommending and evaluating choices in a virtual community of use. In CHI '95: Proceedings of the SIGCHI conference on Human factors in computing systems (1995), pp. 194--201.

Digital Library

Google Scholar

[4]

Johnson, E. J., and Goldstein, D. G. Do defaults save lives? Science 302 (2003), 1338--1339.

Crossref

Google Scholar

[5]

Lewis, K., Kaufman, J., and Christakis, N. The taste for privacy: An analysis of college student privacy settings in an online social network. Computer-Mediated Communication 14, 1 (2008).

Crossref

Google Scholar

[6]

McKenzie, C. R., Liersch, M. J., and Finkelstein, S. R. Recommendations implicit in policy defaults. Psychological Science (2006).

Google Scholar

[7]

Palen, L. Social, individual and technological issues for groupware calendar systems. In CHI '99: Proceedings of the SIGCHI conference on Human factors in computing systems (1999), pp. 17--24.

Digital Library

Google Scholar

[8]

Ravichandran, R., Benisch, M., Kelley, P. G., and Sadeh, N. M. Capturing social networking privacy preferences: Can default policies help alleviate tradeos between expressiveness and user burden? In Privacy Enhancing Technologies (2009), pp. 1--18.

Digital Library

Google Scholar

[9]

Sadeh, N., Hong, J., Cranor, L., Fette, I., Kelley, P., Prabaker, M., and Rao, J. Understanding and capturing people's privacy policies in a mobile social networking application. Personal and Ubiquitous Computing 13, 6 (August 2008), 401--412.

Digital Library

Google Scholar

Cited By

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Stangl AShiroma KDavis NXie BFleischmann KFindlater LGurari D(2022)Privacy Concerns for Visual Assistance TechnologiesACM Transactions on Accessible Computing10.1145/351738415:2(1-43)Online publication date: 19-May-2022
https://dl.acm.org/doi/10.1145/3517384
Chen YGao GWang TZheng XXu X(2019)A Systems Dynamics Simulation Study of Network Public Opinion Evolution MechanismJournal of Global Information Management10.4018/JGIM.201910011027:4(189-207)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.4018/JGIM.2019100110
De Haes SCaluwe LHuygh TJoshi A(2019)National Corporate Governance Codes and IT Governance Transparency in Annual ReportsJournal of Global Information Management10.4018/JGIM.201910010527:4(91-118)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.4018/JGIM.2019100105
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Index Terms

Generating default privacy policies for online social networks
1. Human-centered computing
  1. Collaborative and social computing
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design

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Published In

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

April 2010

2219 pages

ISBN:9781605589305

DOI:10.1145/1753846

General Chairs:
Elizabeth Mynatt
Georgia Institute of Technology
,
Don Schoner
Georgia Institute of Technology
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Scott Hudson
Carnegie Mellon University
,
Keith Edwards
Georgia Tech
,
Tom Rodden
University of Nottingham

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2010

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Extended-abstract

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CHI '10

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SIGCHI

CHI '10: CHI Conference on Human Factors in Computing Systems

April 10 - 15, 2010

Georgia, Atlanta, USA

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CHI EA '10 Paper Acceptance Rate 350 of 1,346 submissions, 26%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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https://dl.acm.org/doi/10.1145/3517384
Chen YGao GWang TZheng XXu X(2019)A Systems Dynamics Simulation Study of Network Public Opinion Evolution MechanismJournal of Global Information Management10.4018/JGIM.201910011027:4(189-207)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.4018/JGIM.2019100110
De Haes SCaluwe LHuygh TJoshi A(2019)National Corporate Governance Codes and IT Governance Transparency in Annual ReportsJournal of Global Information Management10.4018/JGIM.201910010527:4(91-118)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.4018/JGIM.2019100105
Chang YShiau WHsu MHsu P(2019)An Empirical Study on Factors Affecting Switching Intention to Cloud Enterprise Resource PlanningJournal of Global Information Management10.4018/JGIM.201910010327:4(46-69)Online publication date: 1-Oct-2019
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Verdonck MGailly F(2018)An Ontological Analysis Framework for Domain-Specific Modeling LanguagesJournal of Database Management10.4018/JDM.201801010229:1(23-42)Online publication date: 1-Jan-2018
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