A little bird told me your gender: Gender inferences in social media

作者：

Highlights：

• Inferential analytics may reinforce existing biases about gender stereotyping.

• In a N = 109 pilot sample, 19% of Twitter users were misgendered.

• Gender classifiers are binary and do not account for other than male/female gender categories.

• LGBTQAI+ community members and straight women may be more often misgendered than straight men in social media.

摘要

•Inferential analytics may reinforce existing biases about gender stereotyping.•In a N = 109 pilot sample, 19% of Twitter users were misgendered.•Gender classifiers are binary and do not account for other than male/female gender categories.•LGBTQAI+ community members and straight women may be more often misgendered than straight men in social media.

论文关键词：Gender,Twitter,Social media,Inference,Gender classifier,Automated gender recognition system,Privacy,Algorithmic bias,Discrimination,LGBTQAI+,Gender stereotyping,Online Behavioral Advertising

论文评审过程：Received 29 October 2020, Revised 7 January 2021, Accepted 2 February 2021, Available online 18 February 2021, Version of Record 18 February 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102541