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Towards multimodal deception detection -- step 1: building a collection of deceptive videos

In this paper, we introduce a novel crowdsourced dataset of deceptive videos. We describe the collection process and the characteristics of the dataset, and we validate it through initial experiments in the recognition of deceptive language. The collection, consisting of 140 truthful and deceptive videos, will enable future experiments in multimodal deceptive detection.