Sentiment Analysis on Indonesian Political Hoaxes

DOI

10.2991/assehr.k.200729.004How to use a DOI?

Keywords

sentiment analysis, hoax, appraisal theory, emotion in discourse

Abstract

Distinguishing between hoaxes and real news from a linguistic perspective requires further identification than can be provided by structural analysis. The study of emotions and sentiments contained in the text is also important, since these can indicate the author’s mental state, rhetorical position, attitude, judgment, and relationship with an object or event. This study aimed to analyze how emotions and sentiments emerge and play a role in hoaxes, employing qualitative methods and the appraisal theory framework of Martin and White [1]. Data were limited to five hoax texts, with five news texts from official sources used for comparative analysis. All texts were political in nature. Analysis was conducted using qualitative methods, such as annotation, description, interpretation, and comparison between kinds of text. The study found that (1) hoax texts are dominated by negative sentiments with strong semantics, (2) hoax texts tend to be affective and judgmental, and (3) hoax authors try to write texts as similar as possible to real news, often using a heterogloss voice to convey statements. When a monogloss voice is used, an attribute embedding process is dominant. These findings indicate that emotions and sentiments play a significant role in hoax claims and that appraisal theory can address deeper and broader aspects of sentiment analysis in texts.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Aghnia Salsabila
AU  - Totok Suhardijanto
PY  - 2020
DA  - 2020/07/30
TI  - Sentiment Analysis on Indonesian Political Hoaxes
BT  - Proceedings of the International University Symposium on Humanities and Arts (INUSHARTS 2019)
PB  - Atlantis Press
SP  - 15
EP  - 21
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200729.004
DO  - 10.2991/assehr.k.200729.004
ID  - Salsabila2020
ER  -