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A corpus-based cognitive analysis of metaphors of gender issues in National media

Fatim, Al Lastu Nurul, Mubasyiroh, Mubasyiroh ORCID: https://orcid.org/0000-0002-4140-9377 and Hamid, M. Abdul (2024) A corpus-based cognitive analysis of metaphors of gender issues in National media. Notion: Journal of Linguistics, Literature, and Culture, 6 (2). pp. 152-170. ISSN 2655-5905

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Abstract

The identification of conceptual metaphors of gender issues in the national media using corpus linguistic analysis has constructed a discourse based on the correlation between experience and linguistic feature phenomena. This research identifies and reveals three conceptual metaphors based on word frequency, collocation, and concordance. A combined method with an explanatory sequential design was used by collecting Koran Sindo news in 2022–2023 that represented gender issues; there were 210 news articles with 71,920 words. Data collection techniques are documentation, listening, and note-taking using data analysis in AntConc and interactive models. The results of this study are as follows: first, the highest frequency of words is significantly found in the words 'korban' and 'perempuan.' Secondly, collocations have a contradictory tendency to present gender issues. Third, concordance produces identifying forms of conceptual metaphors, such as: a) 4 structural metaphors, conceptually meaning sexual coercion, rape, provider power, and necessity; b) 2 orientational metaphors have conceptual meanings, such as urgency and period; c) 3 ontological metaphors with conceptual meanings include deterioration, qualification, and capacity. This research contributes to exploring cognitive semantic prosody through the phenomenon of lexical and linguistic features.

Item Type: Journal Article
Keywords: Conceptual metaphors; Corpus; Gender issues; National media
Subjects: 20 LANGUAGE, COMMUNICATION AND CULTURE > 2004 Linguistics
Divisions: Faculty of Tarbiyah and Teaching Training > Department of Arabic Language Education
Depositing User: Siti Fatimah
Date Deposited: 09 Dec 2024 10:22

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