Before revision:  In this work, we study how gender biases manifest in online hiring platforms and how they impact real world hiring decisions. More specifically, we analyze various sources of gender biases including the nature of the ranking algorithm, the job context ,  and inherent biases of employers , and establish how these factors interact and affect real world hiring decisions.
After revision:  In this work, we study how gender biases manifest in online hiring platforms , and inherent biases of employers , and establish how these factors interact and affect real world hiring decisions.