Recognition of Manipulative Text: Structure and Dominant Language Parameters

The problem of recognition of the manipulative text in the news on the example of Kazakhstani media is posed. One of the most important tasks of text research in the context of manipulativeness is to find something that, although it has a linguistic representation, is obviously pragmatically “obscur...

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Autores principales:	Gulmira N. Kenzhebalina, Gulvira K. Shaikova, Maygul T. Shakenova, Inessa G. Akoyeva
Formato:	article
Lenguaje:	RU
Publicado:	Tsentr nauchnykh i obrazovatelnykh proektov 2020
Materias:	манипулятивность манипуляция массмедиа дискурс русский язык в казахстане manipulativeness manipulation mass media discourse russian language in kazakhstan Slavic languages. Baltic languages. Albanian languages PG1-9665
Acceso en línea:	https://doaj.org/article/791f779134414e84b03503a6b0cc2cf4
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id	oai:doaj.org-article:791f779134414e84b03503a6b0cc2cf4
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spelling	oai:doaj.org-article:791f779134414e84b03503a6b0cc2cf42021-12-02T07:58:11ZRecognition of Manipulative Text: Structure and Dominant Language Parameters2225-756X2227-129510.24224/2227-1295-2020-7-105-125https://doaj.org/article/791f779134414e84b03503a6b0cc2cf42020-07-01T00:00:00Zhttps://www.nauka-dialog.ru/jour/article/view/1721https://doaj.org/toc/2225-756Xhttps://doaj.org/toc/2227-1295The problem of recognition of the manipulative text in the news on the example of Kazakhstani media is posed. One of the most important tasks of text research in the context of manipulativeness is to find something that, although it has a linguistic representation, is obviously pragmatically “obscured”, hidden from the addressee. It is emphasized that in such cases, the danger of manipulation increases at times, since it is addressed both to large social groups and to society as a whole. The relevance of the work is that the destructive nature of manipulation can lead to large-scale social upheaval. The study is based on the hypothesis of a uniform structure of the manipulative text in the context of big data research for further machine processing. Based on the formed working definition of manipulability, an algorithm for analyzing media texts has been developed, which includes a complex of speech and language indicators. The work was carried out on a corpus of 1,000 media texts, selected from 10,000 fragments of manipulative discourses. Both unambiguous and mixed components are distinguished, that is, linguistic units capable of performing dual functions due to their semantic polysemy. A 4-component universal structure of manipulative texts is compiled, including language parameters extracted from manipulative texts.Gulmira N. KenzhebalinaGulvira K. ShaikovaMaygul T. ShakenovaInessa G. AkoyevaTsentr nauchnykh i obrazovatelnykh proektovarticleманипулятивностьманипуляциямассмедиадискурсрусский язык в казахстанеmanipulativenessmanipulationmass mediadiscourserussian language in kazakhstanSlavic languages. Baltic languages. Albanian languagesPG1-9665RUНаучный диалог, Vol 0, Iss 7, Pp 105-125 (2020)
institution	DOAJ
collection	DOAJ
language	RU
topic	манипулятивность манипуляция массмедиа дискурс русский язык в казахстане manipulativeness manipulation mass media discourse russian language in kazakhstan Slavic languages. Baltic languages. Albanian languages PG1-9665
spellingShingle	манипулятивность манипуляция массмедиа дискурс русский язык в казахстане manipulativeness manipulation mass media discourse russian language in kazakhstan Slavic languages. Baltic languages. Albanian languages PG1-9665 Gulmira N. Kenzhebalina Gulvira K. Shaikova Maygul T. Shakenova Inessa G. Akoyeva Recognition of Manipulative Text: Structure and Dominant Language Parameters
description	The problem of recognition of the manipulative text in the news on the example of Kazakhstani media is posed. One of the most important tasks of text research in the context of manipulativeness is to find something that, although it has a linguistic representation, is obviously pragmatically “obscured”, hidden from the addressee. It is emphasized that in such cases, the danger of manipulation increases at times, since it is addressed both to large social groups and to society as a whole. The relevance of the work is that the destructive nature of manipulation can lead to large-scale social upheaval. The study is based on the hypothesis of a uniform structure of the manipulative text in the context of big data research for further machine processing. Based on the formed working definition of manipulability, an algorithm for analyzing media texts has been developed, which includes a complex of speech and language indicators. The work was carried out on a corpus of 1,000 media texts, selected from 10,000 fragments of manipulative discourses. Both unambiguous and mixed components are distinguished, that is, linguistic units capable of performing dual functions due to their semantic polysemy. A 4-component universal structure of manipulative texts is compiled, including language parameters extracted from manipulative texts.
format	article
author	Gulmira N. Kenzhebalina Gulvira K. Shaikova Maygul T. Shakenova Inessa G. Akoyeva
author_facet	Gulmira N. Kenzhebalina Gulvira K. Shaikova Maygul T. Shakenova Inessa G. Akoyeva
author_sort	Gulmira N. Kenzhebalina
title	Recognition of Manipulative Text: Structure and Dominant Language Parameters
title_short	Recognition of Manipulative Text: Structure and Dominant Language Parameters
title_full	Recognition of Manipulative Text: Structure and Dominant Language Parameters
title_fullStr	Recognition of Manipulative Text: Structure and Dominant Language Parameters
title_full_unstemmed	Recognition of Manipulative Text: Structure and Dominant Language Parameters
title_sort	recognition of manipulative text: structure and dominant language parameters
publisher	Tsentr nauchnykh i obrazovatelnykh proektov
publishDate	2020
url	https://doaj.org/article/791f779134414e84b03503a6b0cc2cf4
work_keys_str_mv	AT gulmirankenzhebalina recognitionofmanipulativetextstructureanddominantlanguageparameters AT gulvirakshaikova recognitionofmanipulativetextstructureanddominantlanguageparameters AT maygultshakenova recognitionofmanipulativetextstructureanddominantlanguageparameters AT inessagakoyeva recognitionofmanipulativetextstructureanddominantlanguageparameters
_version_	1718398857489940480

Recognition of Manipulative Text: Structure and Dominant Language Parameters

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