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Textual deception constitutes a major problem for online security. Manystudies have argued that deceptiveness leaves traces in writing style, whichcould be detected using text classification techniques. By conducting anextensive literature review of existing empirical work, we demonstrate thatwhile certain linguistic features have been indicative of deception in certaincorpora, they fail to generalize across divergent semantic domains. We suggestthat deceptiveness as such leaves no content-invariant stylistic trace, andtextual similarity measures provide superior means of classifying texts aspotentially deceptive. Additionally, we discuss forms of deception beyondsemantic content, focusing on hiding author identity by writing styleobfuscation. Surveying the literature on both author identification andobfuscation techniques, we conclude that current style transformation methodsfail to achieve reliable obfuscation while simultaneously ensuring semanticfaithfulness to the original text. We propose that future work in styletransformation should pay particular attention to disallowing semanticallydrastic changes.

Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?