Cross-cultural Deception Detection
نویسندگان
چکیده
In this paper, we address the task of cross-cultural deception detection. Using crowdsourcing, we collect three deception datasets, two in English (one originating from United States and one from India), and one in Spanish obtained from speakers from Mexico. We run comparative experiments to evaluate the accuracies of deception classifiers built for each culture, and also to analyze classification differences within and across cultures. Our results show that we can leverage cross-cultural information, either through translation or equivalent semantic categories, and build deception classifiers with a performance ranging between 60-70%.
منابع مشابه
Deception Detection Within and Across Cultures
In this paper, we address the task of cross-cultural deception detection. Using crowdsourcing, we collect four deception datasets, two in English (one originating from United States and one from India), one from Romanian speakers, and one in Spanish obtained from speakers from Mexico, covering three predetermined topics. We also collect two additional datasets, one for English from United State...
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