AZIZ, Muhammad Fakhri (2023) A Sociolinguistics Analysis of Stereotypes in "All-Time Most Watched Sketches - Key and Peele" YouTube Video. Skripsi thesis, Universitas Jenderal Soedirman.
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Abstract
The purpose of this research is to analyze the sociolinguistics perspectives of stereotypes in comedy sketches of Key and Peele YouTube video. The theories that applied in this research for sociolinguistics analysis of stereotypes are linguistic features reflecting stereotypes proposed by Semin (2012) and stereotypes categories proposed by Schneider (2005). The total data of this research are 92 stereotypes that found in 5 selected comedy sketches of Key and Peele YouTube video. According to analysis’ findings, all of the data has 5 linguistic features reflecting stereotypes, which are Descriptive Action Verbs (DAVs) (5.43%), Interpretive Action Verbs (IAVs) (7.61%), State Verbs (SVs) (6.52%), Adjectives (ADJs) (14.13%), and Noun Group Categories (NGCs) (66.30%). Noun Group Categories (NGCs) has the highest data found with a total of 61 data as it covered specific individuals in the sketches. Additionally, there are only 5 stereotypes categories found in the data, which are Gender (8.70%), Race (48.91%), Physical Features (13.04%), Language (23.91%), and Occupations and Socioeconomic Status (5.43%). Age, National Groups, and Other Categories of stereotypes are not evident in the data as the categories are not main themes of the comedy sketches. The dominant category is Race stereotypes categories with 45 data which illustrates the prominence of racial elements in the sketches. As a result, stereotypes are one of the linguistics tools that is used to reflect social status and categorization of individuals in the society.
Item Type: | Thesis (Skripsi) |
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Nomor Inventaris: | J23210 |
Uncontrolled Keywords: | Keywords: Sociolinguistics, Stereotypes, YouTube video, Comedy Sketches, Key and Peele. |
Subjects: | S > S468 Sociolinguistics V > V64 Video recording |
Divisions: | Fakultas Ilmu Budaya > S1 Bahasa dan Sastra Inggris |
Depositing User: | Mr Muhammad Fakhri Aziz |
Date Deposited: | 28 Aug 2023 01:39 |
Last Modified: | 28 Aug 2023 01:39 |
URI: | http://repository.unsoed.ac.id/id/eprint/23339 |
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