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Datasets and code of the paper: 'A personal model of trumpery: Linguistic deception detection in a real-world high-stakes setting' ...
van der Zee, Sophie
;
Baillon, Aurelien
;
Poppe, Ronald
;
Havrileck, Alice
. - : Erasmus University Rotterdam (EUR), 2021
Abstract:
Paper abstract Language use differs between truthful and deceptive statements, but not all differences are consistent across people and contexts, complicating the identification of deceit in individuals. By relying on fact-checked tweets, we show in three studies (Study 1: 469 tweets; Study 2: 484 tweets; Study 3: 24 models) how well personalized linguistic deception detection performs by developing the first deception model tailored to an individual: the 45th US president. First, we found substantial linguistic differences between factually correct and incorrect tweets. We developed a quantitative model and achieved 73% overall accuracy. Second, we tested out-of-sample prediction and achieved 74% overall accuracy. Third, we compared our personalized model to linguistic models previously reported in the literature. Our model outperformed existing models by 5pp, demonstrating the added value of personalized linguistic analysis in real-world settings. Our results indicate that factually incorrect tweets by the ...
Keyword:
170104 Forensic Psychology
;
Applied Psychology
;
FOS Other medical sciences
;
Personality, Social and Criminal Psychology
URL:
https://dx.doi.org/10.25397/eur.17179514.v1
https://datarepository.eur.nl/articles/dataset/Datasets_and_code_of_the_paper_A_personal_model_of_trumpery_Linguistic_deception_detection_in_a_real-world_high-stakes_setting_/17179514/1
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Datasets and code of the paper: 'A personal model of trumpery: Linguistic deception detection in a real-world high-stakes setting' ...
van der Zee, Sophie
;
Baillon, Aurelien
;
Poppe, Ronald
. - : Erasmus University Rotterdam (EUR), 2021
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