We analyze the impact of evaluator and candidate gender on the language used in academic evaluations using data on 295,000 evaluation reports for applicants seeking professorial promotion across all academic fields in Italy. In this context, candidates are assessed by a national-level committee...

We analyze the impact of evaluator and candidate gender on the language used in academic evaluations using data on 295,000 evaluation reports for applicants seeking professorial promotion across all academic fields in Italy. In this context, candidates are assessed by a national-level committee...

We shed light on assessing product quality in blind tastings and their potential (gender) biases. We study how phonetic traits of grape varieties suggest product attributes in the context of professional reviews. This study aims to close this research gap and analyze how product variety and...

We analyze text data in all the articles published in the top five (T5) economics journals between 2002 and 2019 in order to find gender differences in their research approach. We implement an unsupervised machine learning algorithm: the structural topic model (STM), so as to incorporate gender...

We analyze text data in all the articles published in the top five (T5) economics journals between 2002 and 2019 in order to find gender differences in their research approach. We implement an unsupervised machine learning algorithm: the structural topic model (STM), so as to incorporate gender...