Chat biometrics. Issue 5 (20th March 2018)

• Record Type: Journal Article
• Authors: Kuzu, Rıdvan Salih; Salah, Albert Ali
• Is Part Of: IET biometrics. Volume 7:Issue 5(2018)
• Page Start: 454
• Page End: 466
• Publication Date: 2018-03-20
• Subjects: social networking (online) -- natural language processing -- text analysis -- Internet -- social aspects of automation; chat biometrics -- On‐line social platforms -- moderation mechanisms -- unwanted content -- verbal aggression -- abuse -- sexual harassment -- verbal behaviour -- banned users -- different identities -- multiple fake accounts -- authorship recognition problem -- multiparty chat records -- multiplayer game environment -- Turkish social platform -- languages; Biometric identification -- Periodicals; 570.15195
• DOI: 10.1049/iet-bmt.2017.0121
• Languages: English
• ISSNs: 2047-4938

Abstract

Abstract : On‐line social platforms implement moderation mechanisms to filter out unwanted content and to take action against possible cases of verbal aggression and abuse, sexual harassment, and such. In this study, the authors investigate chat biometrics, the identification of users from their verbal behaviour on a social platform. The typical application scenarios are the re‐identification of banned users, returning under different identities, and aggressors operating through multiple fake accounts. They propose a novel processing pipeline, and contrast the problem with the authorship recognition problem, which is relatively well‐studied in the literature. They evaluate the proposed approach on a large corpus of multiparty chat records in Turkish, which they have previously collected from a multiplayer game environment. They also introduce a new corpus in this study, collected from a well‐known Turkish social platform called Ekşisözlük, in order to test the robustness of the system across domain changes, as well as on Portuguese and English news datasets to test it on different languages. They evaluate both instance‐based and profile‐based approaches, and provide detailed analyses with regards to the required amount of text to identify a person reliably.