SPORTS COMMENTATOR MANUAL

Association for Computational Linguistics. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 6355–6361, Hong Kong, China. Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts. | IJCNLP SIG: SIGDAT Publisher: Association for Computational Linguistics Note: Pages: 6355–6361 Language: URL: DOI: 10.18653/v1/D19-1666 Bibkey: merullo-etal-2019-investigating Cite (ACL): Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O’Connor, and Mohit Iyyer. Anthology ID: D19-1666 Volume: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) Month: November Year: 2019 Address: Hong Kong, China Venues: EMNLP We identify major confounding factors for researchers examining racial bias in FOOTBALL, and perform a computational analysis that supports conclusions from prior social science studies.

To examine this phenomenon, we assemble FOOTBALL, which contains 1,455 broadcast transcripts from American football games across six decades that are automatically annotated with 250K player mentions and linked with racial metadata.

SPORTS COMMENTATOR MANUAL

Prior studies based on small datasets and manual coding show that such theatrics evince commentator bias in sports broadcasts. Abstract Sports broadcasters inject drama into play-by-play commentary by building team and player narratives through subjective analyses and anecdotes.

Sports commentator