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Navigating #StopAsianHate Upon Atlanta Shooting Incident: Focused on Emotion and Sentiment Analysis on Twitter (X).
- Source :
- International Journal of Contents; Dec2024, Vol. 20 Issue 4, p1-13, 13p
- Publication Year :
- 2024
-
Abstract
- In light of the hate crimes that occurred towards directed at the AAPI community during the coronavirus pandemic, a shooting occurred in Atlanta, Georgia, in 2021 which killed 6resulted in the deaths of six women of Asian descent. UponFollowing the shooting, a surge of Tweets arousetweets emerged with the hashtag #StopAsianHate, showing much expressing a wide range of emotions/and sentiments in response to both the shooting and the hate crimes that have occurred since the outbreak of COVID-19. FindingsThe findings of the analysis showreveal that negative sentiment consistently drives retweets on Twitter, emphasizingunderscoring the pivotal role of negative emotions in shaping tweet virality. However, positive emotions, particularly joy and fear, also exhibitdemonstrate positive associations with retweets in specific instances, highlighting a nuanced relationship between emotional expressions and shareability. In shortsummary, while negative emotions exert a significant impact, positive emotions--particularly joy and fear--also displayedshow positive correlations with retweet counts in certain contexts. This indicates that both negative and positive emotional expressions contribute to tweet shareability, thoughalthough their effects vary depending on the specific emotion and the situational context. Our findings contributeprovide significant insights tointo the literature on social media engagement, underscoringemphasizing the need for a nuanced comprehensionunderstanding of user behavior and the intricate mechanisms governing online interactions. Future studies should examineinvestigate whether these findings are unique to AAPI members or applicable to the broader topic of racial hate crimes. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANTI-Asian racism
HATE crimes
SHOOTINGS (Crime)
SELF-expression
SENTIMENT analysis
Subjects
Details
- Language :
- English
- ISSN :
- 17386764
- Volume :
- 20
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- International Journal of Contents
- Publication Type :
- Academic Journal
- Accession number :
- 182173432
- Full Text :
- https://doi.org/10.5392/IJoC.2024.20.4.001