The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Privacy wizards for social networking sites
Abstract
Privacy is an enormous problem in online social networking sites. While sites such as Facebook allow users fine-grained control over who can see their profiles, it is difficult for average users to specify this kind of detailed policy.
Overview
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Citations
Cites
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293
The igraph software package for complex network research
Csárdi, G., & Nepusz, T. (2006) · Medical Entomology and Zoology · Cited by 10,078
Information revelation and privacy in online social networks
Gross, R., & Acquisti, A. (2005) · Proceedings of the 2005 ACM workshop on Privacy in the electronic society · doi:10.1145/1102199.1102214 · Cited by 2,028
Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook
Acquisti, A., & Gross, R. (2006) · Lecture Notes in Computer Science · doi:10.1007/11957454_3 · Cited by 1,895
A sequential algorithm for training text classifiers
Lewis, D., & Gale, W. A. (1994) · arXiv (Cornell University) · doi:10.5555/188490.188495 · Cited by 1,731
Predicting tie strength with social media
Gilbert, E., & Karahalios, K. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518736 · Cited by 1,382
De-anonymizing Social Networks
Narayanan, A., & Shmatikov, V. (2009) · 2009 30th IEEE Symposium on Security and Privacy · doi:10.1109/sp.2009.22 · Cited by 1,301
Heterogeneous Uncertainty Sampling for Supervised Learning
Lewis, D. D., & Catlett, J. (1994) · Machine Learning Proceedings 1994 · doi:10.1016/b978-1-55860-335-6.50026-x · Cited by 1,150
YALE: rapid prototyping for complex data mining tasks
Mierswa, I., Wurst, M., Klinkenberg, R., Scholz, M., & Euler, T. (2006) · Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1150402.1150531 · Cited by 1,010
Cited by
A survey of emerging threats in cybersecurity
Jang-Jaccard, J., & Nepal, S. (2014) · Journal of Computer and System Sciences · doi:10.1016/j.jcss.2014.02.005 · Cited by 892
Cross-Cultural Privacy Prediction
Li, Y., Kobsa, A., Knijnenburg, B. P., & Carolyn Nguyen, M.-H. (2017) · Proceedings on Privacy Enhancing Technologies · doi:10.1515/popets-2017-0019 · Cited by 84
Understanding Human-Machine Networks: A Cross-Disciplinary Survey
Tsvetkova, M., Yasseri, T., Meyer, E. T., Pickering, J. B., Engen, V., Walland, P., Lüders, M., Følstad, A., & Bravos, G. (2018) · ACM Computing Surveys · doi:10.1145/3039868 · Cited by 67
Metadata
- Authors
- Fang, L., & LeFevre, K.
- Venue
- Proceedings of the 19th international conference on World wide web
- Publisher
- ACM
- Published
- 2010-04-26
- Pages
- 351-360
- OpenAlex
- W2154685734
- Cited by
- 398
- References
- 31
- FWCI
- 112.27
- Type
- conference paper
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Privacy wizards for social networking sites. https://app.cochat.ai/papers/10.1145/1772690.1772727
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- Fang, L., & LeFevre, K. (2010). Privacy wizards for social networking sites. Proceedings of the 19th international conference on World wide web. https://doi.org/10.1145/1772690.1772727
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
