Hate speech detection in mass media: IT-based and psycholinguistic interdisciplinary approach

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dc.contributor.authorKrylova-Grek, Yuliya
dc.date.accessioned2024-09-05T10:47:56Z
dc.date.available2024-09-05T10:47:56Z
dc.date.issued2021
dc.description.abstractIn the research, I examine the issue of the influence of the mass media on a person’s consciousness from a psycholinguistic perspective. The core focus of my current research is hate speech in print media. The work was performed within an international project "Free voices: Promoting Independent Media in the Target Region" featuring the Crimean Human Rights Group. This paper presents an intermediate study of hate speech in the texts of online publications dated November 2020. To receive data I combined the author's method of psycholinguistic analysis with a help of a software bot. Our research consists of four stages. During the first stage, a team of journalists and volunteers with the help of a software bot carried out search query mining to find negative information. Later, applying the author's method of psycholinguistic analysis of the text, we scrutinized the material obtained to identify the type of hate speech, its techniques of influencing consciousness. The examples of hate speech were split into three types based on the use of specific linguistic and graphic tools: #1 direct hate speech; #2 indirect (hidden) hate speech; #3 manipulative hate speech. The evidence from this study intimates that the media tend to use examples of hate speech of the second and third types and avoid direct discrimination. In addition, there were mixed types: the combination of the second and third types and the combination of the first with the third or second type. I assumed the third and mixed#2-3 types of hate speech to be the methods of psycholinguistic manipulation. I have obtained comprehensive results proving that the majority of selected texts (75.7%) widely exploit methods of psycholinguistic manipulation. The results of this study will be used for a project report as well as to develop training for pre-journalist students and human rights defenders.en_US
dc.identifier.citationKrylova-Grek Y. Hate speech detection in mass media: IT-based and psycholinguistic interdisciplinary approach / Yuliya Krylova-Grek // DisCo 2021: Active Learning in Digital Era: How Digital Tools promote a Conscious, Open-minded, Creative and Social-Oriented Thinking / eds. Beseda J., Rohlíková L.. - Prague : Centre for Higher Education Studies, 2021. - P. 194-202.en_US
dc.identifier.issn978-80 -863-02-88 -1
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/31498
dc.language.isoenen_US
dc.publisherCentre for Higher Education Studiesen_US
dc.relation.sourceDisCo 2021: Active Learning in Digital Era: How Digital Tools promote a Conscious, Open-minded, Creative and Social-Oriented Thinkingen_US
dc.statusfirst publisheduk_UA
dc.subjectmediaen_US
dc.subjecthate speechen_US
dc.subjectmanipulationen_US
dc.subjecttexten_US
dc.subjecttypes of hate speechen_US
dc.subjectpsycholinguistic perspectiveen_US
dc.subjectconference materialsen_US
dc.titleHate speech detection in mass media: IT-based and psycholinguistic interdisciplinary approachen_US
dc.typeConference materialsuk_UA
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