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PRODID;X-RICAL-TZSOURCE=TZINFO:-//com.denhaven2/NONSGML ri_cal gem//EN
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BEGIN:VEVENT
DTEND;VALUE=DATE-TIME:20261120T161500Z
DTSTART;VALUE=DATE-TIME:20261120T154500Z
DTSTAMP;VALUE=DATE-TIME:20261113T133115Z
UID:409104ed-aff1-4bb8-8e97-419152121c0f@talks.stuts.de
DESCRIPTION:Open science as a movement has created more opportunities for
  high-quality linguistic research. Through increased access and transpar
 ent scientific practices\, early career linguists have more avenues for 
 collaboration and paths to prove their findings through reproduction. Th
 e licence to navigate open science practices and put forth research that
  is reproducible is important not only for our academic careers\, but th
 e 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  “E
 ffects of gender sensitive language in job listings: a study on real-lif
 e user interaction” by Dominik Hetjens and Stefan Hartmann which investi
 gated whether different gender-sensitive language strategies in German m
 ade an impact on female job seekers. I will also discuss doing a robustn
 ess check to assess the reliability of their findings. The aim of this t
 alk is to provide a real world example of a reproduction\, explore the s
 kills I developed during the process\, and show off how much fun being a
  data detective sleuthing through research can be. Those interested in t
 his talk should check out the Replication and Reproducibility workshop w
 ith Dr. Elen Le Foll and Ali Yildiz. 
URL:https://talks.stuts.de/de/stuts80/public/events/1610
SUMMARY:Reproduction of Gender Sensitive Language effects on Job listing 
 views
ORGANIZER:stuts80
LOCATION:stuts80 - S 15 
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