This repository contains code and data related to the paper:

Ramponi A, Testa B, Tonelli S, Jezek E. 2022. Addressing religious hate online: from taxonomy creation to automated detection. PeerJ Computer Science 8:e1128 [cite] [paper]

Repository content

• code/: this folder contains the code used to run the experiments. Specifically:

  • baselines-and-ml-models/: this folder contains a set of notebooks to preprocess data and run experiments using the random and the always abusive/not abusive/religious hate/not religious hate baselines, as well as mulinomial naive Bayes, decision tree, linear support vector classifier, and logistic regression;
  • pretrained-language-models/: this folder contains the code to run experiments using BERT, RoBERTa, AlBERTo, UmBERTo, mBERT, and XLM-Roberta.

• data/: this folder contains the Italian and English portions of the dataset (in the form of tweet IDs and labels), both aggregated and disaggregated. Specifically:

  • dataset_en-portion.tsv: English portion of the dataset in an aggregate form;
  • dataset_en-portion_raw.tsv: English portion of the dataset in a disaggregate form;
  • dataset_it-portion.tsv: Italian portion of the dataset in an aggregate form;
  • dataset_it-portion_raw.tsv: Italian portion of the dataset in a disaggregate form.

Citation

If you use or build on top of this work, please cite our paper as follows:

@article{peerj-cs.1128,
    title={Addressing religious hate online: from taxonomy creation to automated detection},
    author={Ramponi, Alan and Testa, Benedetta and Tonelli, Sara and Jezek, Elisabetta},
    journal={PeerJ Computer Science},
    volume={8},
    pages={e1128},
    year={2022},
    publisher={PeerJ Inc.},
    doi={https://doi.org/10.7717/peerj-cs.1128}
}