Multilingual Analysis of YouTube's Recommendation System: Examining Topic and Emotion Drift in the 'Cheng Ho' Narrative.
Ugochukwu Onyepunuka|Mustafa Alassad|Lotenna Nwana|Nitin Agarwal
| Anthology ID: | DBLP:conf/ecir/OnyepunukaANA23 |
|---|---|
| Volume: | Proceedings of Text2Story - Sixth Workshop on Narrative Extraction From Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2, 2023. |
| Year: | 2023 |
| Venue: | Workshop on Narrative Extraction From Texts (Text2Story) |
| Publisher: | CEUR-WS.org |
| Pages: | 25-35 |
| URL: | https://ceur-ws.org/Vol-3370/paper3.pdf |
| DBLP: | conf/ecir/OnyepunukaANA23 |
| BibTeX: |
@inproceedings{onyepunuka-2023-multilingual,
author = {Ugochukwu Onyepunuka and
Mustafa Alassad and
Lotenna Nwana and
Nitin Agarwal},
editor = {Ricardo Campos and
Al\'{i}pio M\'{a}rio Jorge and
Adam Jatowt and
Sumit Bhatia and
Marina Litvak},
title = {{Multilingual Analysis of YouTube's Recommendation System: Examining Topic and Emotion Drift in the 'Cheng Ho' Narrative}},
booktitle = {{Proceedings of Text2Story - Sixth Workshop on Narrative Extraction From Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2, 2023}},
series = {CEUR Workshop Proceedings},
volume = {3370},
pages = {25--35},
publisher = {CEUR-WS.org},
year = {2023},
url = {https://ceur-ws.org/Vol-3370/paper3.pdf}
}