Deep learning models have showcased remarkable performances in natural language processing tasks. While much attention has been paid to improvements utility, privacy leakage and social bias are two major concerns arising trained models. In this paper, we address both protection gender mitigation classification simultaneously. We first introduce a selective privacy-preserving method that obscure...

Background/Objective: Gender bias is prevalent in the medical workplace and can lead to burnout. Female providers report higher rates of microaggressions, but studies do not describe direct observation workplace. Research shows gender physician evaluations has evaluated how affects communication during patient care. This investigation addresses both limitations by observing whether impacts para...

Using data on articles published in the top-five economics journals period 1991 to 2018, we explore whether gender composition of editorial boards is related publishing success female authors and quality that get published. Our results show a low level representation women harms authors, while higher increases share are (co-)authored by women. We also find evidence editors benefit article quali...