Unintended bias evaluation: An analysis of hate speech detection and gender bias mitigation on social media using ensemble learning

作者：

Highlights：

• We investigated unintended gender bias on online social media.

• Proposal of a multiview ensemble for unintended gender bias mitigation.

• Evaluation of four real-world datasets in the context of gender bias mitigation.

• Effectiveness of the mitigation of unintended bias compared to the state-of-the-art.

摘要

•We investigated unintended gender bias on online social media.•Proposal of a multiview ensemble for unintended gender bias mitigation.•Evaluation of four real-world datasets in the context of gender bias mitigation.•Effectiveness of the mitigation of unintended bias compared to the state-of-the-art.

论文关键词：Hate speech detection,Ensemble learning,Gender bias,Multi-features

论文评审过程：Received 22 October 2021, Revised 13 January 2022, Accepted 27 March 2022, Available online 6 April 2022, Version of Record 14 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117032