Information revelation and privacy in online social networks

Gross, Ralph; Acquisti, Alessandro

doi:10.1145/1102199.1102214

Cited by 2,028Privacy, Security, and Data ProtectionPrivacy-Preserving Technologies in DataUser Authentication and Security Systems

Information revelation and privacy in online social networks

Gross, Ralph, Acquisti, Alessandro·2005·Proceedings of the 2005 ACM workshop on Privacy in the electronic society

DOI 10.1145/1102199.1102214

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Abstract

Participation in social networking sites has dramatically increased in recent years. Services such as Friendster, Tribe, or the Facebook allow millions of individuals to create online profiles and share personal information with vast networks of friends - and, often, unknown numbers of strangers. In this paper we study patterns of information revelation in online social networks and their privacy implications. We analyze the online behavior of more than 4,000 Carnegie Mellon University students who have joined a popular social networking site catered to colleges. We evaluate the amount of information they disclose and study their usage of the site's privacy settings. We highlight potential attacks on various aspects of their privacy, and we show that only a minimal percentage of users changes the highly permeable privacy preferences.

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Privacy breaches can have harmful outcomes like stalking, discrimination, black-mailing or identity theft.
“Privacy breaches can have harmful outcomes (Barocas and Selbst, 2016) like stalking, discrimination, black-mailing or identity theft (Gross and Acquisti, 2005).”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Gross and Acquisti, 2005

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Authors: Gross, R., & Acquisti, A.
Affiliations: Carnegie Mellon University, Pittsburgh, PA
Carnegie Mellon University (US)
ORCID: Acquisti, Alessandro
Venue: Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Publisher: ACM
Published: 2005-11-07
Pages: 71-80
DOI: 10.1145/1102199.1102214
OpenAlex: W2016563917
Cited by: 2,028
References: 27
Citations by year: 2026: 12 · 2025: 22 · 2024: 32 · 2023: 42 · 2022: 48 · 2021: 61 · 2020: 70 · 2019: 79 · 2018: 130 · 2017: 127 · 2016: 125 · 2015: 167 · 2014: 176 · 2013: 200 · 2012: 202
FWCI: 57.31
Type: conference paper
Language: en
Open access: closed
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: ACM Workshop on Privacy in the Electronic Society (WPES) (publishedVersion)
Topics: Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
Keywords: social networking sites, privacy, information disclosure, privacy settings, privacy attacks, user behavior, university students

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