Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets

• Published in: Advances in Information Retrieval Vol. 12657; pp. 216 - 224
• Main Authors: Bigdeli, Amin, Arabzadeh, Negar, Zihayat, Morteza, Bagheri, Ebrahim
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2021; Springer International Publishing
• Series: Lecture Notes in Computer Science

Recent studies in information retrieval have shown that gender biases have found their way into representational and algorithmic aspects of computational models. In this paper, we focus specifically on gender biases in information retrieval gold standard datasets, often referred to as relevance judg...