Gender Bias among Professionals: An Identity-Based Interpretation
研究在线专业论坛中关于女性和男性的讨论内容，发现讨论女性时更关注个人特征而非职业成就，且易偏离专业话题，并用身份激励模型解释这一现象。
This paper measures gender bias in discussions about women versus men in an online professional forum. I study the content of posts that refer to each gender and the transitions in the topics between consecutive posts once attention turns to one gender or the other. Discussions about women tend to emphasize their personal characteristics instead of professional accomplishments. Posts about women are also more likely to lead to deviations from professional topics than are posts about men. I interpret these findings through a model that highlights posters' incentives to boost their own identities relative to the underrepresented out-group in a profession.