Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation.

Despite progress toward gender equality in the labor market over the past few decades, gender segregation in labor force composition and labor market outcomes persists. Evidence has shown that job advertisements may express gender preferences, which may selectively attract potential job candidates to apply for a given post and thus reinforce gendered labor force composition and outcomes. Removing gender-explicit words from job advertisements does not fully solve the problem as certain implicit traits are more closely associated with men, such as ambitiousness, while others are more closely associated with women, such as considerateness. However, it is not always possible to find neutral alternatives for these traits, making it hard to search for candidates with desired characteristics without entailing gender discrimination. Existing algorithms mainly focus on the detection of the presence of gender biases in job advertisements without providing a solution to how the text should be (re)worded. To address this problem, we propose an algorithm that evaluates gender bias in the input text and provides guidance on how the text should be debiased by offering alternative wording that is closely related to the original input. Our proposed method promises broad application in the human resources process, ranging from the development of job advertisements to algorithm-assisted screening of job applications.

Immigrant women: making connections to community resources for support in family caregiving.

The purpose of this ethnographic study was to understand how immigrant women caregivers accessed support from community resources and identify the barriers to this support. The study included 29 Chinese and South Asian women caring for an ill or disabled child or adult relative. All experienced barriers to accessing community services. Some possessed personal resources and strategies to overcome them; others remained isolated and unconnected. Family and friends facilitated connections, and a connection with one community service was often linked to several resources. Caregivers who failed to establish essential ties could not initiate access to resources, and community services lacked outreach mechanisms to identify them. These findings contribute new understanding of how immigrant women caregivers connect with community resources and confirm the impact of immigration on social networks and access to support.