"On the internet, nobody knows you're a dog": a twitter case study of anonymity in social networks
Abstract
Twitter does not impose a Real-Name policy for usernames, giving users the freedom to choose how they want to be identified. This results in some users being Identifiable (disclosing their full name) and some being Anonymous (disclosing neither their first nor last name).
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Users who disclose their real name are less likely to post about sensitive topics compared to users who use a pseudonym.
“It has been observed that users who disclose their real name are less likely to post about sensitive topics, compared to users who use a pseudonymous”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Peddinti et al., 2014
Cites
What is Twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., & Moon, S. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772751 · Cited by 6,652 · see citing works
Measuring user influence in twitter: The million follower fallacy
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14033 · Cited by 3,022 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Whose space? differences among users and non-users of social network sites
Hargittai, E. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00396.x · Cited by 1,286 · see citing works
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00013 · Cited by 763 · see citing works
“It has been observed that users who disclose their real name are less likely to post about sensitive topics, compared to users who use a pseudonymous (Peddinti et al., 2014).”
BackgroundSeabrook, E. M., Kern, M. L., Fulcher, B. D., & Rickard, N. S. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9267 · Cited by 144 · see citing works
An analysis of three chatbots: BlenderBot, ChatGPT and LaMDA
O'Leary, D. E. (2023) · Intelligent Systems in Accounting, Finance and Management · doi:10.1002/isaf.1531 · Cited by 38 · see citing works
- Authors
- Peddinti, S. T., Ross, K. W., & Cappos, J.
- Affiliations
- New York University (US)
- New York University Shanghai (CN)
- Venue
- Proceedings of the second ACM conference on Online social networks
- Publisher
- ACM
- Published
- 2014-10
- Pages
- 83-94
- OpenAlex
- W2146706445
- Cited by
- 128
- References
- 2
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 11 · 2023: 10 · 2022: 5 · 2021: 5 · 2020: 21 · 2019: 8 · 2018: 10 · 2017: 14 · 2016: 4 · 2015: 8 · 2014: 3 · 2013: 2 · 2012: 1
- FWCI
- 31.13
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Conference on Online Social Networks (publishedVersion)
- Funders
- Division of Computer and Network Systems (CNS-1318659)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Human-Computer Interaction › Digital Communication and Language
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- Twitter, online anonymity, user identification, pseudonyms, social media privacy, online identity
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.
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