Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2022 Workshop on Open Challenges in Online Social Networks, OASIS 2022 |
| Subtitle of host publication | Held in conjunction with the 33rd ACM Conference on Hypertext and Social Media, HT 2022 |
| Pages | 31-38 |
| Number of pages | 8 |
| ISBN (electronic) | 9781450392792 |
| Publication status | Published - 28 Jun 2022 |
| Event | 2022 Workshop on Open Challenges in Online Social Networks, OASIS 2022, held in conjunction with the 33rd ACM Conference on Hypertext and Social Media, HT 2022 - Virtual, Online, Spain Duration: 28 Jun 2022 → 28 Jun 2022 |
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.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
Sustainable Development Goals
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Proceedings of the 2022 Workshop on Open Challenges in Online Social Networks, OASIS 2022 : Held in conjunction with the 33rd ACM Conference on Hypertext and Social Media, HT 2022. 2022. p. 31-38.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Endorsement Analysis of Migrant-related Deliberations on YouTube
T2 - 2022 Workshop on Open Challenges in Online Social Networks, OASIS 2022, held in conjunction with the 33rd ACM Conference on Hypertext and Social Media, HT 2022
AU - Khatua, Aparup
AU - Nejdl, Wolfgang
N1 - Funding Information: Funding for this paper was, in part, provided by the European Union’s Horizon 2020 research and innovation program under Grant Agreement No: 832921.
PY - 2022/6/28
Y1 - 2022/6/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85134347657&partnerID=8YFLogxK
U2 - 10.1145/3524010.3539499
DO - 10.1145/3524010.3539499
M3 - Conference contribution
AN - SCOPUS:85134347657
SP - 31
EP - 38
BT - Proceedings of the 2022 Workshop on Open Challenges in Online Social Networks, OASIS 2022
Y2 - 28 June 2022 through 28 June 2022
ER -