• Corpus ID: 7101987

Tie-breaker: Using language models to quantify gender bias in sports journalism

@article{Fu2016TiebreakerUL,
  title={Tie-breaker: Using language models to quantify gender bias in sports journalism},
  author={Liye Fu and Cristian Danescu-Niculescu-Mizil and Lillian Lee},
  journal={ArXiv},
  year={2016},
  volume={abs/1607.03895}
}
Gender bias is an increasingly important issue in sports journalism. In this work, we propose a language-model-based approach to quantify differences in questions posed to female vs. male athletes, and apply it to tennis post-match interviews. We find that journalists ask male players questions that are generally more focused on the game when compared with the questions they ask their female counterparts. We also provide a fine-grained analysis of the extent to which the salience of this bias… 

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