Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events

Anietie Andy, Derry Tanti Wijaya, Chris Callison-Burch


Abstract
Pre-scheduled events, such as TV shows and sports games, usually garner considerable attention from the public. Twitter captures large volumes of discussions and messages related to these events, in real-time. Twitter streams related to pre-scheduled events are characterized by the following: (1) spikes in the volume of published tweets reflect the highlights of the event and (2) some of the published tweets make reference to the characters involved in the event, in the context in which they are currently portrayed in a subevent. In this paper, we take advantage of these characteristics to identify the highlights of pre-scheduled events from tweet streams and we demonstrate a method to summarize these highlights. We evaluate our algorithm on tweets collected around 2 episodes of a popular TV show, Game of Thrones, Season 7.
Anthology ID:
W19-3412
Original:
W19-3412v1
Version 2:
W19-3412v2
Volume:
Proceedings of the Second Workshop on Storytelling
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | Story-NLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
112–116
Language:
URL:
https://aclanthology.org/W19-3412
DOI:
10.18653/v1/W19-3412
Bibkey:
Cite (ACL):
Anietie Andy, Derry Tanti Wijaya, and Chris Callison-Burch. 2019. Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events. In Proceedings of the Second Workshop on Storytelling, pages 112–116, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events (Andy et al., 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-3412.pdf