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decodingfatphobia

Source code and consolidated data for "Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images, to appear in the Findings of NAACL 2025.

https://github.com/janewarren/decodingfatphobia

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Source code and consolidated data for "Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images, to appear in the Findings of NAACL 2025.

Basic Info
  • Host: GitHub
  • Owner: janewarren
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 4.39 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

Decoding Fatphobia Source Code Repository

Overview

This repository contains code and consolidated data for our research paper Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images, to appear in the Findings of the Association for Computational Linguistics, NAACL 2025.

Files Description

generation.py

This script is responsible for generating images used in the study.

requirements.txt

Contains a list of Python libraries required to run the code in this repository.

table_combination.ipynb

A Jupyter notebook that: 1. Creates a consolidated dataset from individual rater files 2. Performs statistical analysis on the data 3. Generates plots and visualizations presented in the paper

Directories

images/

Contains plots generated by table_combination.ipynb.

data/

Stores the raw data files: - Individual Excel files for each rater's image ratings - A consolidated final dataset combining all raters' assessments - Instructions the raters followed

Dataset Link

Owner

  • Name: Jane Warren
  • Login: janewarren
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.0.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Warren"
  given-names: "Jane"
  orcid: "https://orcid.org/0009-0009-9166-3910"
- family-names: "Martinez-Lopez"
  given-names: "Fernando"
  orcid: "https://orcid.org/0009-0007-2208-2691"
title: "Decoding Fatphobia Code Repository"
version: 1.0.0
date-released: 2025-01-23
url: "https://github.com/janewarren/decodingfatphobia"
// preferred-citation:
// type: misc
//   authors:
//  - family-names: "Warren"
//   given-names: "Jane"
//   orcid: "https://orcid.org/0009-0009-9166-3910"
// - family-names: "Martinez-Lopez"
//   given-names: "Fernando"
//   orcid: "https://orcid.org/0009-0007-2208-2691"
//   journal: "F"
//   month: 9
//   start: 1 # First page number
//   end: 10 # Last page number
//   title: "My awesome research software"
//   issue: 1
//   volume: 1
//   year: 2021

GitHub Events

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Dependencies

requirements.txt pypi
  • numpy *
  • openai *
  • pandas *
  • python-dotenv *
  • requests *