Published May 22, 2025 | Version v1.0.0
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ahmadrpratama/ai-text-detection-bias: v1.0.0: Data and code for "The Accuracy-Bias Trade-Offs in AI Text Detection Tools and Their Impact on Fairness in Scholarly Publication" (PeerJ Computer Science)

Creators

Description

This is version 1.0.0 of the data and code supporting my article published in PeerJ Computer Science.

How to cite this release

Pratama, A. (2025). Data and code for "The Accuracy-Bias Trade-Offs in AI Text Detection Tools and Their Impact on Fairness in Scholarly Publication" (Version 1.0.0) [software and data set]. Zenodo. https://doi.org/10.5281/zenodo.15490003

Paper

  • Title: "The Accuracy–Bias Trade-Offs in AI Text Detection Tools and Their Impact on Fairness in Scholarly Publication"
  • Author: Ahmad Pratama
  • Journal: PeerJ Computer Science (2025)

Repository contents

  • abstracts.csv – input dataset of human-written, AI-generated, and AI-assisted scholarly abstracts
  • results.csv – detection results from multiple AI text-detector tools (scores & classifications)
  • aitextdetectortests.ipynb – Jupyter notebook with all analysis, metrics, and visualizations
  • figures/ – six publication-ready figures generated by the notebook
  • LICENSE – MIT License

Usage

Clone or download this exact version to reproduce the analyses:

git clone --branch v1.0.0 https://github.com/ahmadrpratama/ai-text-detection-bias.git

Files

ahmadrpratama/ai-text-detection-bias-v1.0.0.zip

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