Did that happen? Predicting Social Media Posts that are Indicative of what happened in a scene: A case study of a TV show
Anietie Andy, Reno Kriz, Sharath Chandra Guntuku, Derry Tanti Wijaya, Chris Callison-Burch
Abstract
While popular Television (TV) shows are airing, some users interested in these shows publish social media posts about the show. Analyzing social media posts related to a TV show can be beneficial for gaining insights about what happened during scenes of the show. This is a challenging task partly because a significant number of social media posts associated with a TV show or event may not clearly describe what happened during the event. In this work, we propose a method to predict social media posts (associated with scenes of a TV show) that are indicative of what transpired during the scenes of the show. We evaluate our method on social media (Twitter) posts associated with an episode of a popular TV show, Game of Thrones. We show that for each of the identified scenes, with high AUC’s, our method can predict posts that are indicative of what happened in a scene from those that are not-indicative. Based on Twitters policy, we will make the Tweeter ID’s of the Twitter posts used for this work publicly available.- Anthology ID:
- 2022.lrec-1.781
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 7209–7214
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.781
- DOI:
- Cite (ACL):
- Anietie Andy, Reno Kriz, Sharath Chandra Guntuku, Derry Tanti Wijaya, and Chris Callison-Burch. 2022. Did that happen? Predicting Social Media Posts that are Indicative of what happened in a scene: A case study of a TV show. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 7209–7214, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Did that happen? Predicting Social Media Posts that are Indicative of what happened in a scene: A case study of a TV show (Andy et al., LREC 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.lrec-1.781.pdf