Irony And Sarcasm Detection On Public Figure Speech

Authors

  • Ari Tantra Zuhri Student of Faculty of Teacher Training and Education, Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
  • Rakhmat Wahyudin Sagala Faculty of Teacher Training and Education, Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia

DOI:

https://doi.org/10.62966/joese.v1i1.13

Keywords:

Verbal Irony, Sarcasm Detection, Public Figure Speech, Semantics

Abstract

This study discusses the detection of sarcasm found in several speeches. The objectivity of this study is the utterances of Megawati Soekarnoputri and Sukmawati Soekarnoputri speech. The data source for this study is four video samples as primary data and three printed text as secondary data. In this study, seven types of sarcasm from Mike Lamb are used as the foundation for the objective resolution of this study. This study was carried out by cross-checking the analysis, which resulted in sarcasm that is no longer a detection but a solid sarcasm. The method used in this study is a literature review and video-based analysis that analysed seven types of sarcasm by Mike Lamb: self-deprecating, brooding, deadpan, polite, obnoxious, manic, and raging sarcasm. The results got from this study are that the speakers detected 3 of 7 types of sarcasm, referring to Mike Lamb's theory of sarcasm.

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Published

2022-09-06

How to Cite

Ari Tantra Zuhri, & Wahyudin Sagala, R. (2022). Irony And Sarcasm Detection On Public Figure Speech. Journal of Elementary School Education, 1(1), 41–45. https://doi.org/10.62966/joese.v1i1.13