Sockpuppet Detection in Wikipedia: A Corpus of Real-World Deceptive Writing for Linking Identities
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Abstract (arXiv)
This paper describes the corpus of sockpuppet cases we gathered from Wikipedia. A sockpuppet is an online user account created with a fake identity for the purpose of covering abusive behavior and/or subverting the editing regulation process. We used a semi-automated method for crawling and curating a dataset of real sockpuppet investigation cases. To the best of our knowledge, this is the first corpus available on real-world deceptive writing. We describe the process for crawling the data and some preliminary results that can be used as baseline for benchmarking research. The dataset will be released under a Creative Commons license from our project website: http://docsig.cis.uab.edu.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Oct 2013.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1; 2025: 1.
5 papers.
- 2024Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verificationcited by 4
- 2022Characterizing, Detecting, and Predicting Online Ban Evasioncited by 3
- 2025Detecting Sockpuppetry on Wikipedia Using Meta-Learningcited by 1
- 2021Sockpuppet Detection: a Telegram case studycited by 0
- 2022Detecting People Interested in Non-Suicidal Self-Injury on Social Mediacited by 0
- 2025Detecting Sockpuppetry on Wikipedia Using Meta-Learning12 Jun 2025
- 2024Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verification13 Mar 2024
- 2022Detecting People Interested in Non-Suicidal Self-Injury on Social Media10 Jul 2022
- 2022Characterizing, Detecting, and Predicting Online Ban Evasion10 Feb 2022
- 2021Sockpuppet Detection: a Telegram case study22 May 2021