Abstract

Purpose of the study: This data exploration is to seek the level and also the sort of unhappiness expression as a part of effect used in the news texts as a register included in discussion genre taken from 2 news texts of New York Times, 2 news texts of BBC, 1 news text of The Guardian 1, 1 news text of Bloomberg 1, 1 news text of USA Today and 1 news text of Fox News.

Methodology: The data is explored with the appraisal theory by using domain and component analysis. The effect measured is focused on unhappiness: misery and unhappiness: antipathy. The data source used here are international news which the text is written with discussion genre.

Main Findings: The findings report that the unhappiness: antipathy is much more found (43 data) than the unhappiness: misery (34 data). The data found are: 8 data of unhappiness: antipathy and 27 data of unhappiness: misery in New York Times 1; 5 data of unhappiness: antipathy and 2 unhappiness: misery in BBC 2; 2 data of unhappiness: antipathy and 2 data of unhappiness: misery in The Guardian; 6 data of unhappiness: antipathy in Bloomberg; 8 data of unhappiness: antipathy and 3 data of unhappiness: misery in BBC 1; 10 data of unhappiness: antipathy in USA Today; 2 data of unhappiness: antipathy in Fox News; 2 data of unhappiness: antipathy in New York Times 2.

Applications of this study: This data exploration is a benefit in the linguistic study to find the implicit meaning taken from the news texts.

Novelty/Originality of this study: The novelty of this exploration is investigating unhappiness value in texts with the genre of discussion which can construct a new theory of genre.

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