In plain words: A collection of real Wikipedia cases where one person runs fake accounts to hide abusive edits, gathered from actual investigations so systems can learn to link accounts to the same person. It is the first set of real deceptive writing, plus early tests to compare against.
Abstract · Sockpuppet Detection in Wikipedia: A Corpus of Real-World Deceptive Writing for Linking Identities
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.
Thamar Solorio, Ragib Hasan, Mainul Mizan
arXiv:1310.6772 · cs.CL, cs.CR, cs.CY · submitted Oct 24, 2013
abstract · pdf · html · 4 pages, under submission at LREC 2014