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Deception detection in text and its relation to the cultural dimension of individualism/collectivism

Katerina Papantoniou, Panagiotis Papadakos, Theodore Patkos, George Flouris, Ion Androutsopoulos, Dimitris Plexousakis
2021 Natural Language Engineering  
In addition, we investigate if a universal feature set for cross-cultural text deception detection tasks exists. We evaluate the predictive power of different feature sets and approaches.  ...  This is more evident for the usage of pronouns and the expression of sentiment in deceptive language.  ...  We would like to thank the anonymous reviewers, Yannis Tzitzikas and Stasinos Konstantopoulos for their insightful feedback which helped us to improve this paper.  ... 
doi:10.1017/s1351324921000152 fatcat:qkjilzrntraxdkszglwynrsg5y

Deception Detection for the Russian Language: Lexical and Syntactic Parameters

Dina Pisarevskaya, Tatiana Litvinova, Olga Litvinova
2017 Proceedings of the Workshop Natural Language Processing and Information Retrieval   unpublished
The field of automated deception detection in written texts is methodologically challenging.  ...  On the example of the Russian Deception Bank Corpus we estimate the impact of three groups of features (POS features including bigrams, sentiment and psycholinguistic features, syntax and readability features  ...  Acknowledgments This research is supported by a grant from the Russian Foundation for Basic Research, N 15-34-01221 Lie Detection in a Written Text: A Corpus Study.  ... 
doi:10.26615/978-954-452-038-0_001 fatcat:bmtoujny65flrmoczglg5ztqfe