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Distinguishing Between Roles of Football Players in Play-by-play Match Event Data
Over the last few decades, the player recruitment process in professiona...
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Controlled Analyses of Social Biases in Wikipedia Bios
Social biases on Wikipedia, a widely-read global platform, could greatly...
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Rapid Prediction of Player Retention in Free-to-Play Mobile Games
Predicting and improving player retention is crucial to the success of m...
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Analyzing the National Football League is challenging, but player tracking data is here to help
Most historical National Football League (NFL) analysis, both mainstream...
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Experience Management in Multi-player Games
Experience Management studies AI systems that automatically adapt intera...
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Towards Detection of Subjective Bias using Contextualized Word Embeddings
Subjective bias detection is critical for applications like propaganda d...
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Estimating locomotor demands during team play from broadcast-derived tracking data
The introduction of optical tracking data across sports has given rise t...
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Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
Sports broadcasters inject drama into play-by-play commentary by building team and player narratives through subjective analyses and anecdotes. Prior studies based on small datasets and manual coding show that such theatrics evince commentator bias in sports broadcasts. 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. 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.
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