Semantic Emotion in COVID-19 Online News
نویسندگان
چکیده
This research aimed to determine the dominant semantic emotion in online news about COVID-19. The study’s data included 28 sentences from five sources by two publishers – CNN News and Jakarta Post. study used qualitative method Shaver’s theory analysis of data. It was found that were rich emotions. 12 (43%) contained fear, (18%) sadness, four (14%) joy. Seven did not contain basic emotions because they only provided information. So, it can be concluded COVID-19 are fear By knowing semantics news, people fully understand purpose news.
 Keywords: semantic, emotion, COVID-19,
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ژورنال
عنوان ژورنال: KnE Social Sciences
سال: 2021
ISSN: ['2518-668X']
DOI: https://doi.org/10.18502/kss.v5i4.8679