Domain-Independent Deception: Definition, Taxonomy and the Linguistic Cues Debate

Autor:	Verma, Rakesh M., Dershowitz, Nachum, Zeng, Victor, Liu, Xuting
Rok vydání:	2022
Předmět:	Computer Science - Cryptography and Security Computer Science - Computers and Society K.6.5
Druh dokumentu:	Working Paper
Popis:	Internet-based economies and societies are drowning in deceptive attacks. These attacks take many forms, such as fake news, phishing, and job scams, which we call "domains of deception." Machine-learning and natural-language-processing researchers have been attempting to ameliorate this precarious situation by designing domain-specific detectors. Only a few recent works have considered domain-independent deception. We collect these disparate threads of research and investigate domain-independent deception along four dimensions. First, we provide a new computational definition of deception and formalize it using probability theory. Second, we break down deception into a new taxonomy. Third, we analyze the debate on linguistic cues for deception and supply guidelines for systematic reviews. Fourth, we provide some evidence and some suggestions for domain-independent deception detection. Comment: 16 pages, 2 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2207.01738 Zobrazit plný text záznamu View this record from Arxiv