Topic Modeling for Gender Bias on Regional News Corpus
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Updated
Jan 4, 2024
Topic Modeling for Gender Bias on Regional News Corpus
This repository contains an exploratory data analysis project focused on investigating gender bias in Spanish films through the lens of the Bechdel Test. The Bechdel Test, originating from Alison Bechdel, is a measure of representation of women in fiction, setting a low bar for gender equality in storytelling.
Code for measuring gender bias in word embeddings
A reply to BMJ 2019;367:l6573
Reproduction Attempt for "Gender Bias among Professionals"
The project can be split into different sub-projects (easy difficulty: replication of the published meta-analysis for evidence of gender bias in hiring decisions; medium for newer modelling). Requires skills in R and will require some learning on Bayesian modelling.
Measure and mitigate gender bias in Danish toxicity classifiers and sentiment analysis models.
Roadblocks in Gender Bias Measurement for Diachronic Corpora
Website for the paper: Auditing Gender Presentation Differences in Text-to-Image Models
Gender bias in Porto street naming convention
Analysis of reports of cases of gender violence in Peru on the basis of ENARES 2019.
Gender debias in word embeddings for Ethis in AI class at @unibo
GENIA: Study of gender biases in machine learning models using explainable artificial intelligence
Reproduction of Evaluating Gender Bias in Machine Translation Gabriel Stanovsky, Noah A. Smith, and Luke Zettlemoyer, (ACL 2019) - University Project
Identifying gender bias in film reviews through three distinct Natural Language Processing models
Literature review demo for paper "Unsupervised Discovery of Implicit Gender Bias" at EMNLP'20
Short project that uses kmeans to build cluster of word embeddings from Chilean news about femicide
Source code for the paper "Hypers at ComMA@ICON: Modelling Aggressiveness, Gender Bias and Communal Bias Identification"
Using GSS data, this paper tracks public perceptions of women in politics over time, in correlation with demographic factors, political views, and party identification
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