DIACHRONIC ECOLOGICAL DISCOURSE ANALYSIS OF IMDb

Facta Universitatis Series Linguistics and Literature Pub Date : 2022-07-29 DOI:10.22190/full210314001k

Mandana Kolahdouz Mohammadi

{"title":"DIACHRONIC ECOLOGICAL DISCOURSE ANALYSIS OF IMDb","authors":"Mandana Kolahdouz Mohammadi","doi":"10.22190/full210314001k","DOIUrl":null,"url":null,"abstract":"Media is a useful tool to convey various types of messages. Within the past years, broadcasting media has covered a wide range of different communication methods such as television, radio, newspapers, and magazines. The article's central hypothesis is that movies, TV, and video games quotes, as the subcategory of broadcasting, convey messages about environmental issues. It seems that ecological discourse analysis can be useful, as it focuses on texts about the environment. In a diachronic approach, the present article aims to explore the environmental issues in movies, TV, and video games quotes; in this regard, we analyzed ecological discourse and solutions proposed by IMDb quotes. The data was collected from the IMDb database using Keyword in Context (KWIC) over 1990-2020. The findings indicated that KWICs such as global warming (38%) and endangered species (19.18%) had the highest frequencies. On the other hand, only 0.67% of the raw numbers of quotes belonged to environmental issues, which indicated that IMDb quotes implicitly conveyed the message regarding ecological matters. Furthermore, the studied IMDb mostly explained the consequences and provided solutions to environmental issues. Therefore, the frequency of informing people about environmental negligence was much lower than expected.","PeriodicalId":30162,"journal":{"name":"Facta Universitatis Series Linguistics and Literature","volume":"90 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Facta Universitatis Series Linguistics and Literature","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22190/full210314001k","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

Media is a useful tool to convey various types of messages. Within the past years, broadcasting media has covered a wide range of different communication methods such as television, radio, newspapers, and magazines. The article's central hypothesis is that movies, TV, and video games quotes, as the subcategory of broadcasting, convey messages about environmental issues. It seems that ecological discourse analysis can be useful, as it focuses on texts about the environment. In a diachronic approach, the present article aims to explore the environmental issues in movies, TV, and video games quotes; in this regard, we analyzed ecological discourse and solutions proposed by IMDb quotes. The data was collected from the IMDb database using Keyword in Context (KWIC) over 1990-2020. The findings indicated that KWICs such as global warming (38%) and endangered species (19.18%) had the highest frequencies. On the other hand, only 0.67% of the raw numbers of quotes belonged to environmental issues, which indicated that IMDb quotes implicitly conveyed the message regarding ecological matters. Furthermore, the studied IMDb mostly explained the consequences and provided solutions to environmental issues. Therefore, the frequency of informing people about environmental negligence was much lower than expected.

查看原文本刊更多论文

IMDb的历时性生态话语分析

媒体是传递各种信息的有用工具。在过去的几年里，广播媒体已经涵盖了广泛的不同的传播方式，如电视、广播、报纸和杂志。这篇文章的中心假设是，电影、电视和电子游戏的引用作为广播的子类，传达了有关环境问题的信息。生态话语分析似乎是有用的，因为它关注的是关于环境的文本。本文旨在从历时性的角度探讨电影、电视和电子游戏引文中的环境问题;在这方面，我们分析了IMDb引用的生态话语和解决方案。数据采用主题词上下文(KWIC)从1990-2020年的IMDb数据库中收集。结果表明，全球变暖(38%)和濒危物种(19.18%)等KWICs频率最高。另一方面，只有0.67%的原始引用属于环境问题，这表明IMDb的引用隐含地传达了关于生态问题的信息。此外，研究的IMDb主要解释了后果，并提供了环境问题的解决方案。因此，告知人们环境疏忽的频率远低于预期。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Facta Universitatis Series Linguistics and Literature

自引率

0.00%

发文量

审稿时长

14 weeks