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Journal : eScience Humanity Journal

AMERICAN SOCIAL CLASS DISSIMILARITY AS REFLECTED IN MICHAEL GRACEY’S MOVIE “THE GREATEST SHOWMAN” Balqis Majesty Wahana; Mhd Johan
eScience Humanity Journal Vol 1 No 2 (2021): eScience Humanity Journal Volume 1 Number 2 Mei 2021
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (579.011 KB) | DOI: 10.37296/esci.v1i2.15

Abstract

This study aimed investigate about American social class dissimilarity as reflected in Michel Gracey’ movie entitled The Greatest Showman, to reveal the causes in social class dissimilarity in America , to describe the impacts of American Social Class to the main character and the society and to find solution to solve tis social problem as reflected in the film. The objectives of this research were looking the problems that found in Michael Gracey’ film entitled The Greatest Showman. The data were taken from the narration of this movie which are relevant to discussion of the study. The data were collected by watching the movie and reading the movie script in several times, selecting data, discussion from  identifying date to report in paper to discribe the condition. The qualitative method used in this research by developing ideas and analyzing the data based on librarian research.  The results of this analyzing are people underestimate others and the impact American social class in society of relationship.
DEIXIS FOUND IN THE FIRST VICTORY SPEECH OF JOE BIDEN AS UNITED STATES PRESIDENT Hery Ricca; Mhd Johan
eScience Humanity Journal Vol 1 No 2 (2021): eScience Humanity Journal Volume 1 Number 2 Mei 2021
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.285 KB) | DOI: 10.37296/esci.v1i2.16

Abstract

This research aimed to analyze Deixis found in The First Victory Speech of Joe Biden as United States President On 7 November 2020. Deixis is a part of Pragmatics that being used to understand the words and phrases context which identify person, time, and place. The object of the research was to identify the deixis found in the Joe Biden’s speech by categorizing to person deixis, spatial deixis, and temporal deixis, and to find the most dominant deixis used in the speech. A qualitative research method was applied in this research. The data source in this research was the transcript of Joe Biden’s victory speech as the President of the United States. The data was collected by document review, and the data was analyzed by using theory of Miles and Huberman in Sugiyono (2012) which had three steps: Data reduction, data display, and conclusion drawing. The result showed as the most dominant deixis found in Joe Biden’s speech was person deixis with total 198 deixis and the least category found was temporal deixis with total 12 deixis