The DOI matches its Crossref record; 26 of the 27 references it cites were found in a registry or an index.
Information revelation and privacy in online social networks
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 (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
In the citing paper
“Navigating the trade-offs between privacy, utility, and convenience lead users to willingly disclose large amounts of personal information while rarely adjusting privacy settings [17].”
From "I tell him everything that I do": An investigation of privacy and safety implications of AI companion usage (2025) · cites this paper as [17]
In the citing paper
“this issue can be exacerbated for Replika users given their emotional attachment to the app, hence, their increased readiness to tolerate privacy invasion in exchange to having access to their AI companion [17].”
From "I tell him everything that I do": An investigation of privacy and safety implications of AI companion usage (2025) · cites this paper as [17]
Citations
Cites
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
Imagined Communities. Reflections on the Origin and Spread of Nationalism
Reid, A. J. S. (1985) · Pacific Affairs · doi:10.2307/2759245 · Cited by 25,964
Imagined Communities: Reflections on the Origin and Spread of Nationalism
Sears, L. J., & Anderson, B. (1994) · Journal of the American Oriental Society · doi:10.2307/604991 · Cited by 12,508
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
SWEENEY, L. (2002) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488502001648 · Cited by 8,571
The Strength of Weak Ties: A Network Theory Revisited
Granovetter, M. (1983) · Sociological Theory · doi:10.2307/202051 · Cited by 8,263
Milgram, S. (1967) · PsycEXTRA Dataset · doi:10.1037/e400002009-005 · Cited by 5,528
Imagined communities reflections on the origin and spread of nationalism
Anderson, B. R. O. (1991) · Cited by 5,218
Overview of the Face Recognition Grand Challenge
Phillips, P. J., Flynn, P. J., Scruggs, T., Bowyer, K. W., Chang, J., Hoffman, K., Marques, J., Min, J., & Worek, W. J. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.268 · Cited by 2,493
Li, S. Z., Jain, A. K., Deng, J., & service), S. (. (2011) · Springer eBooks · doi:10.1007/978-0-85729-932-1 · Cited by 1,867
Six Degrees: The Science of a Connected Age
Watts, D. J. (2003) · Cited by 1,724
Research works printed but not linked: 12
- S. Arrison . Is Friendster the new TIA ? TechCentralStation , January 7, 2004 . S. Arrison. Is Friendster the new TIA? TechCentralStation, January 7, 2004.
- J. Black . The perils and promise of online schmoozing . BusinessWeek Online , February 20, 2004 . J. Black. The perils and promise of online schmoozing. BusinessWeek Online, February 20, 2004.
- J. Brown . Six degrees to nowhere. Salon.com , September 21 , 1998 . J. Brown. Six degrees to nowhere. Salon.com, September 21, 1998.
- D. Cave . 16 to 25? Pentagon has your number, and more . The New York Times , June 24, 2005 . D. Cave. 16 to 25? Pentagon has your number, and more. The New York Times, June 24, 2005.
- R. Gross . Re-identifying facial images. Technical report , Carnegie Mellon University , Institute for Software Research International, 2005 . In preparation. R. Gross. Re-identifying facial images. Technical report, Carnegie Mellon University, Institute for Software Research International, 2005. In preparation.
- R. Gross , J. Shi , and J. Cohn . Quo vadis face recognition ? In Third Workshop on Empirical Evaluation Methods in Computer Vision , 2001 . R. Gross, J. Shi, and J. Cohn. Quo vadis face recognition? In Third Workshop on Empirical Evaluation Methods in Computer Vision, 2001.
- K. Jump . A new kind of fame . The Columbian Missourian , September 1, 2005 . K. Jump. A new kind of fame. The Columbian Missourian, September 1, 2005.
- A. Leonard . You are who you know. Salon.com , June 15 , 2004 . A. Leonard. You are who you know. Salon.com, June 15, 2004.
- H. Liu and P. Maes . Interestmap: Harvesting social network profiles for recommendations . In Beyond Personalization - IUI 2005 , January 9, San Diego, California, USA , 2005. H. Liu and P. Maes. Interestmap: Harvesting social network profiles for recommendations. In Beyond Personalization - IUI 2005, January 9, San Diego, California, USA, 2005.
- A. Newitz . Defenses lacking at social network sites . SecurityFocus , December 31, 2003 . A. Newitz. Defenses lacking at social network sites. SecurityFocus, December 31, 2003.
- L. Sweeney . Uniqueness of simple demographics in the U.S. population. Technical report , Carnegie Mellon University , Laboratory for International Data Privacy, 2004 . L. Sweeney. Uniqueness of simple demographics in the U.S. population. Technical report, Carnegie Mellon University, Laboratory for International Data Privacy, 2004.
- University Planning. Carnegie Mellon Factbook 2005 . Carnegie Mellon University , February 2005. University Planning. Carnegie Mellon Factbook 2005. Carnegie Mellon University, February 2005.
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Reviewing risks and vulnerabilities in web 2.0 for matching security considerations in web 3.0
Saqib, N. A., Salam, A. A., Rahman, A., & Dash, S. (2021) · Journal of Discrete Mathematical Sciences and Cryptography · doi:10.1080/09720529.2020.1857903 · Cited by 19
Metadata
- 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
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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