Work

Sockpuppet Detection in Wikipedia: A Corpus of Real-World Deceptive Writing for Linking Identities

Year: 2014

Type: conference-paper

Abstract: This paper describes a corpus of sockpuppet cases 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 has been released under a Creative Commons license from our project website (http://docsig.cis.uab.edu/tools-and-datasets/).

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/4ea8cv4zth8s

Authors: Thamar Solorio, Ragib Hasan, Mainul Mizan

Institution: University of Alabama at Birmingham

Language: English

Topic: Authorship Attribution and Profiling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Office of Naval Research

Awards: CAREER: Authorship Analysis in Cross-Domain Settings, EAGER: Investigating linguistic dimensions in cross-domain authorship analysis, G7685818843, G8067955107, G8876996369