Khusnah, Nurul Azizatul (2023) An analysis of illocutionary act used by Taylor Swift in NYU's 2022 commencement speech. Sarjana thesis, UIN Sunan Gunung Djati Bandung.
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Abstract
Illocutionary speech acts are actions used by speaker not only to convey utterances, but also have other purposes for conveying meaning. Meanwhile, motivational elements are used by speaker to arouse the enthusiasm of their listeners. This study aims to find out and analyze illocutionary speech acts and how the utterances conveyed motivational elements in NYU’s 2022 commencement speech. The data used is a transcript of a video entitled NYU’s 2022 Commencement Speaker Taylor Swift. In this research, the researcher uses Searle’s theory to classifies and analyses sentences and Daniel Goleman’s theory to classifies and analysis motivational elements. This study used a qualitative method with descriptive results based on the researcher’s analysis. The technique used to analyze the data uses Bowen’s theory, categorizing, describing and drawing a conclusion. The results of illocutionary speech act show, that there are 37 data of representative, 9 data of directive, 12 data of expressive, 6 data of commissive and no sentences stated as declarative. The results of motivational elements show, that there are 4 data of personal drive motivation, 3 data of commitment motivation, 3 data of initiative motivation and 3 data of optimism motivation. It can be concluded that representative was the most commonly found data because speaker told their life stories, also related to personal drive motivation as the most commonly found data to motivate graduates to improve themselves to achieve their goals.
Item Type: | Thesis (Sarjana) |
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Uncontrolled Keywords: | Speech act; Illocutionary speech act; motivational elements |
Subjects: | Linguistics English Speech |
Divisions: | Fakultas Adab dan Humaniora > Program Studi Bahasa dan Sastra Inggris |
Depositing User: | Nurul Azizatul Khusnah |
Date Deposited: | 05 Sep 2023 01:35 |
Last Modified: | 05 Sep 2023 01:35 |
URI: | https://digilib.uinsgd.ac.id/id/eprint/75007 |
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