Aparup Khatua
ABSTRACT
Extant literature has noted that migrant-related deliberations on social media platforms are primarily associated with negative sentiments. However, the literature has rarely probed – whether these negative sentiments get endorsed by other users? If yes, does it depend on who the migrants are – especially if they are cultural others? The 2022 Ukrainian refugee crisis allows probing these intricate issues. We have analyzed 110,803 (prior to this 2022 crisis) and 21,453 (during this crisis) migrant-related comments on the YouTube platform. Specifically, we investigate the relationship between user endorsement and sentiments of these comments. Both datasets indicate that users endorse comments with positive sentiments and reveal a negative propensity to endorse hate speeches, i.e., comments that use swear words. However, the analysis of the recent dataset reveals a negative propensity to endorse comments with negative sentiments, but the earlier dataset indicates a positive propensity. Thus, the endorsement pattern of comments with negative sentiments may depend on who the migrants are!
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Index Terms
- Endorsement Analysis of Migrant-related Deliberations on YouTube: Prior to and During 2022 Ukrainian crisis
Index terms have been assigned to the content through auto-classification.
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