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izvor podataka: crosbi

Who is Guilty and Who is Responsible in the Croatian Parliament: A Linguistic Approach (CROSBI ID 720404)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Kocijan, Kristina ; Šojat, Krešimir Who is Guilty and Who is Responsible in the Croatian Parliament: A Linguistic Approach // Proceedings of the 16th International Conference on Statistical Analysis of Textual Data / Misuraca, Michelangelo ; Scepi, Germana ; Spano, Maria (ur.). Napulj: Vadistat Press, 2022. str. 503-510

Podaci o odgovornosti

Kocijan, Kristina ; Šojat, Krešimir

engleski

Who is Guilty and Who is Responsible in the Croatian Parliament: A Linguistic Approach

From a psychological perspective, there is a difference between the terms kriv ‘guilty’ and odgovoran ‘responsible’ in that the former term conveys negative emotion and supports a predominantly passive state of being, while the latter conveys positive emotion and encourages (endorses) more active and stimulating circumstances. One’s choice of term may greatly influence the communication process. It may, on one hand, bring further disruption between the sender of the communication and its receivers or, on the other hand, help them find the same path to a recovery process. This is even more important when the senders and receivers of the communication are representatives of a larger group of people, as is the case with Members of Parliament. The aim of this study is to gain insight about the political discourse in the Croatian Parliament regarding the usage of the concepts of ‘guilt’ vs. ‘responsibility’, particularly whether their usage is dependent on the speaker’s gender and party preference. Therefore, we rely on a corpus with over 127 million tokens. Both qualitative and quantitative analysis are facilitated with a syntactic grammar designed within the NooJ NLP environment.

political discourse ; PDA ; digital humanities ; syntactic grammar ; Croatian ; NooJ

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Podaci o prilogu

503-510.

2022.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 16th International Conference on Statistical Analysis of Textual Data

Misuraca, Michelangelo ; Scepi, Germana ; Spano, Maria

Napulj: Vadistat Press

979-12-80153-30-2

Podaci o skupu

16th International Conference on Statistical Analysis of Textual Data

predavanje

06.07.2022-08.07.2022

Napulj, Italija

Povezanost rada

Filologija, Informacijske i komunikacijske znanosti