Reproduction of Gender Sensitive Language effects on Job listing views
Open science as a movement has created more opportunities for high-quality linguistic research. Through increased access and transparent scientific practices, early career linguists have more avenues for collaboration and paths to prove their findings through reproduction. The licence to navigate open science practices and put forth research that is reproducible is important not only for our academic careers, but the betterment of linguistics research as a whole. I will present my paper "Reproduction of Gender Sensitive Language effects on Job listing views" which reproduces and performs a robustness check on the 2024 paper “Effects of gender sensitive language in job listings: a study on real-life user interaction” by Dominik Hetjens and Stefan Hartmann which investigated whether different gender-sensitive language strategies in German made an impact on female job seekers. I will also discuss doing a robustness check to assess the reliability of their findings. The aim of this talk is to provide a real world example of a reproduction, explore the skills I developed during the process, and show off how much fun being a data detective sleuthing through research can be. Those interested in this talk should check out the Replication and Reproducibility workshop with Dr. Elen Le Foll and Ali Yildiz.
Intended for those interested in learning about and getting involved in open science/reproducible science practices. Knowledge of R and Quarto might be useful but not a necessity.
Speakers
Sarah
MA Linguistics student with background in TESOL and German literature.