Relationship Between Personality Patterns and Harmfulness: Analysis and Prediction Based on Sentence Embedding

Kazuyuki Matsumoto, Ryota Kishima, Seiji Tsuchiya, Tomoki Hirobayashi, Minoru Yoshida and Kenji Kita
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Kazuyuki Matsumoto: Tokushima University, Japan
Ryota Kishima: Tokushima University, Japan
Seiji Tsuchiya: Doshisha University, Japan
Tomoki Hirobayashi: Yamada Denken Co., Ltd., Japan
Minoru Yoshida: Tokushima University, Japan
Kenji Kita: Tokushima University, Japan

International Journal of Information Technology and Web Engineering (IJITWE), 2022, vol. 17, issue 1, 1-24

Abstract: This paper hypothesize that harmful utterances need to be judged in context of whole sentences, and extract features of harmful expressions using a general-purpose language model. Based on the extracted features, we propose a method to predict the presence or absence of harmful categories. In addition, the authors believe that it is possible to analyze users who incite others by combining this method with research on analyzing the personality of the speaker from statements on social networking sites. The results confirmed that the proposed method can judge the possibility of harmful comments with higher accuracy than simple dictionary-based models or models using a distributed representations of words. The relationship between personality patterns and harmful expressions was also confirmed by an analysis based on a harmful judgment model.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jitwe0:v:17:y:2022:i:1:p:1-24

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