TALIP Perspectives, Guest Editorial Commentary

Author:

Rubin Victoria L.1

Affiliation:

1. University of Western Ontario

Abstract

In hopes of sparking a discussion, I argue for much needed research on automated deception detection in Asian languages. The task of discerning truthful texts from deceptive ones is challenging, but a logical sequel to opinion mining. I suggest that applied computational linguists pursue broader interdisciplinary research on cultural differences and pragmatic use of language in Asian cultures, before turning to detection methods based on a primarily Western (English-centric) worldview. Deception is fundamentally human, but how do various cultures interpret and judge deceptive behavior?

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

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