This study sets out to examine the linguistic difference between truthful and deceptive texts. In order to take more linguistic features into consideration, this research applied multidimensional analysis, which can reduce many linguistic features into several factors. This study used a self-built corpus containing 100 truthful texts and 100 deceptive texts. TextMind was employed to annotate these Chinese texts automatically. SPSS version 20 was utilized for t-tests and multidimensional analysis. The discussion of the data was divided into two parts: word count and word per sentence, and multidimensional analysis. This research reveals that word count and word per sentence of deceptive discourse are significantly smaller than those of truthful discourse. The results of multidimensional analysis suggest that deceptive discourse displays a weaker performance on dimensions of narration, interpersonal relationship, and perception.
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