Mapping Topics in 100,000 Real-life Moral Dilemmas

This repository contains the data and code for our ICWSM 2022 Paper, Mapping Topics in 100,000 Real-life Moral Dilemmas.

Dataset

Instructions on downloading the dataset can be found in dataset/README.md.

Setting up a Python environment

We will be using Anaconda for setting up a virtual environment.

# Create a new environment
conda create --name icwsm2022 python=3.8.5

# Activate the environment
conda activate icwsm2022

# Install packages and dependencies
pip install -r requirements.txt

Topic modeling

We use two topic models, Latent Dirichlet Allocation and Nonnegative Matrix Factorization. To use then, first cd to scripts. The documentation can be found in that folder.

Citation

Please use the following BibTex entry to cite our work.

@article{Nguyen_Lyall_Tran_Shin_Carroll_Klein_Xie_2022, 
    title={Mapping Topics in 100,000 Real-Life Moral Dilemmas},
    author={Nguyen, Tuan Dung and Lyall, Georgiana and Tran, Alasdair and Shin, Minjeong and Carroll, Nicholas George and Klein, Colin and Xie, Lexing},
    journal={Proceedings of the International AAAI Conference on Web and Social Media},
    volume={16},
    number={1},
    year={2022},
    pages={699-710}
}