Radar de Parité: An NLP system to measure gender representation in French news stories

Valentin-Gabriel Soumah, Prashanth Rao, Philipp Eibl, Maite Taboada
4/19/2023
cs.CL

No official code found. Best implementation: sfu-discourse-lab/GenderGapTracker (47 stars, MIT, last commit 2024-05-03).

Abstract

We present the Radar de Parité, an automated Natural Language Processing (NLP) system that measures the proportion of women and men quoted daily in six Canadian French-language media outlets. We outline the system's architecture and detail the challenges we overcame to address French-specific issues, in particular regarding coreference resolution, a new contribution to the NLP literature on French. We also showcase statistics covering over one year's worth of data (282,512 news articles). Our results highlight the underrepresentation of women in news stories, while also illustrating the application of modern NLP methods to measure gender representation and address societal issues.

View on arXivView PDF

Code Implementations(1)

sfu-discourse-lab/GenderGapTrackerCommunity100%
MIT

Scrape news articles and analyze them using NLP to quantify the gender gap in Canadian mainstream media

4713CSS, PythonMay 10, 20192 years agoMIT
big-datadashboardfastapigender-biasmachine-learning+6 more

Similar Papers

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages

83% match1 repo2132023

Automatic Classification of News Subjects in Broadcast News: Application to a Gender Bias Representation Analysis

82% match1 repo2024

Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling

81% match1 repo2023

Gender Bias in Coreference Resolution

81% match1 repo832018

For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network

81% match1 repo12023

taz2024full: Analysing German Newspapers for Gender Bias and Discrimination across Decades

80% match1 repo2025

Cite this paper

@article{soumah2023radar,
  title  = {Radar de Parité: An NLP system to measure gender representation in French news stories},
  author = {Valentin-Gabriel Soumah and Prashanth Rao and Philipp Eibl and Maite Taboada},
  year   = {2023},
  eprint = {2304.09982},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.09982v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2304.09982.svg)](https://codeofpaper.com/paper/2304.09982)

Discussion