Endorsement Analysis of Migrant-related Deliberations on YouTube
Prior to and during 2022 Ukrainian crisis
- authored by
- Aparup Khatua, Wolfgang Nejdl
- 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.
- Organisation(s)
-
L3S Research Centre
- Type
- Conference contribution
- Pages
- 31-38
- No. of pages
- 8
- Publication date
- 28.06.2022
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Computer Networks and Communications
- Sustainable Development Goals
- SDG 16 - Peace, Justice and Strong Institutions
- Electronic version(s)
-
https://doi.org/10.1145/3524010.3539499 (Access:
Closed)
