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ENGLISH JOURNAL OF INDRAGIRI
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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POSITIVE POLITENESS STRATEGIES USED BY THE CHARACTERS IN “TURNING RED” MOVIE

Authors: Herti Nurizka Septaria; Ambalegin Ambalegin;

POSITIVE POLITENESS STRATEGIES USED BY THE CHARACTERS IN “TURNING RED” MOVIE

Abstract

This research purposed to discover the positive politeness strategy and used the theory from Brown and Levinson (1987) of positive politeness. And for the data source, this research took a movie titled “Turning Red”. This study used the descriptive qualitative method from (Creswell, 2013). In collecting and analyzing the data this research applied the theory from (Sudaryanto, 2015). The final result of this study discovered 21 data of positive politeness done by the characters. Offer,promise, occurred 5 times as the most strategy used. And exaggerate occurred 2 times. Use in-group identity markers that appeared 2 times. Seek agreement appeared 1 time. Presuppose appeared 1 time. Assert or presuppose speaker‘s knowledge of and concern for interlocutor‘s wants appeared 2 times. Include both speaker and interlocutor in the activity with 4 times occurrence. Assume or assert reciprocity occurred 3 times, and give a gift occurred 1 time. The results of this study contribute to knowledge of various positive politeness strategies that exist in "Soul" films and the role of research results to broaden understanding

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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