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A Linguistic Analysis of Causality i...

Lamp, Kaelyn Jean,

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A Linguistic Analysis of Causality in Hate Speech /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Linguistic Analysis of Causality in Hate Speech // Kaelyn Jean Lamp.
Author:	Lamp, Kaelyn Jean,
Description:	1 electronic resource (187 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
Contained By:	Dissertations Abstracts International86-03B.
Subject:	Web studies. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31489093
ISBN:	9798384053521

A Linguistic Analysis of Causality in Hate Speech /
Lamp, Kaelyn Jean,

A Linguistic Analysis of Causality in Hate Speech /Kaelyn Jean Lamp. - 1 electronic resource (187 pages)

Source: Dissertations Abstracts International, Volume: 86-03, Section: B.

This dissertation investigates how linguistic phenomena are used to manipulate the perception of causal responsibility and blame when expressing hate speech. The research questions addressed are as follows: (1) How is responsibility being assigned? (2) Are different types of causal constructions and strategies used similarly in hate speech? (3) Do the strategies vary based on language or are they universal? (4) How significant is causal responsibility in hate speech?To answer research questions (1) and (2), I conducted a corpus analysis of select causal constructions and strategies of indirect speech using annotated English hate speech datasets to see what syntactic choices were made in hate speech when referencing minority (targeted) groups and majority groups. I found that hate speech tends to use causal constructions to minimize the causal responsibility of majority groups and indirect speech strategies such as word order and passivization to focus on minority groups' involvement in events.To answer research question (3), I extended the corpus study to include English, Spanish, German, and French. The same causal constructions and strategies of indirect speech were analyzed. I found that the strategies used to manipulate the assignment of causal responsibility do vary cross-linguistically. For example, passive voice and causative verbs were used more frequently in English hate speech and implicit causality verbs were used more in Spanish and German hate speech. However, none of the syntactic choices examined were used to assign less causal responsibility to minority groups than majority groups in hate speech.Finally, to answer research question (4), I trained models to detect hate speech using causal information to test how predictive and generalizable the patterns regarding the assignment of causal responsibility in hate speech are. I found that the models did learn patterns related to the assignment of causal responsibility and that those patterns generalize better than patterns related to lexical choice.

English

ISBN: 9798384053521Subjects--Topical Terms:

2122754
Web studies.
Subjects--Index Terms:

Causality

A Linguistic Analysis of Causality in Hate Speech /
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245 1 2 $a A Linguistic Analysis of Causality in Hate Speech / $c Kaelyn Jean Lamp.
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500 $a Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
500 $a Advisors: van Schijndel, Marten Committee members: Aparicio Terrasa, Helena; Lyon, Mary; Murray, Sarah.
502 $b Ph.D. $c Cornell University $d 2024.
520 $a This dissertation investigates how linguistic phenomena are used to manipulate the perception of causal responsibility and blame when expressing hate speech. The research questions addressed are as follows: (1) How is responsibility being assigned? (2) Are different types of causal constructions and strategies used similarly in hate speech? (3) Do the strategies vary based on language or are they universal? (4) How significant is causal responsibility in hate speech?To answer research questions (1) and (2), I conducted a corpus analysis of select causal constructions and strategies of indirect speech using annotated English hate speech datasets to see what syntactic choices were made in hate speech when referencing minority (targeted) groups and majority groups. I found that hate speech tends to use causal constructions to minimize the causal responsibility of majority groups and indirect speech strategies such as word order and passivization to focus on minority groups' involvement in events.To answer research question (3), I extended the corpus study to include English, Spanish, German, and French. The same causal constructions and strategies of indirect speech were analyzed. I found that the strategies used to manipulate the assignment of causal responsibility do vary cross-linguistically. For example, passive voice and causative verbs were used more frequently in English hate speech and implicit causality verbs were used more in Spanish and German hate speech. However, none of the syntactic choices examined were used to assign less causal responsibility to minority groups than majority groups in hate speech.Finally, to answer research question (4), I trained models to detect hate speech using causal information to test how predictive and generalizable the patterns regarding the assignment of causal responsibility in hate speech are. I found that the models did learn patterns related to the assignment of causal responsibility and that those patterns generalize better than patterns related to lexical choice.
546 $a English
590 $a School code: 0058
650 4 $a Web studies. $3 2122754
650 4 $a Linguistics. $3 524476
650 4 $a Speech therapy. $3 520446
653 $a Causality
653 $a Hate speech
653 $a Indirect speech
653 $a Linguistic analysis
690 $a 0290
690 $a 0460
690 $a 0646
710 2 $a Cornell University. $b Linguistics. $e degree granting institution. $3 3821652
720 1 $a van Schijndel, Marten $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-03B.
790 $a 0058
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31489093