Published August 15, 2022 | Version v1
Dataset Restricted

Dataset: Understanding and Detecting Hateful Content using Contrastive Learning

Creators

  • 1. University of British Columbia
  • 2. Delft University of Technology

Description

 

This is the dataset released with the paper titled: "Understanding and Detecting Hateful Content using Contrastive Learning".

We release our dataset in four CSV files. These files contain the textual and visual dataset and the textual and visual ground truth we obtained after our manual annotations. For a detailed description of every column in the CSV structure, along with the type of the value, please read the readme.pdf file provided with this dataset.

The images are stored in the zip files. 

If you find our dataset useful, please cite our paper:

@inproceedings{gonzalez2023understanding,
  title={Understanding and Detecting Hateful Content using Contrastive Learning},
  author={Gonz{\'a}lez-Pizarro, Felipe and Zannettou, Savvas},
  booktitle={17th International AAAI Conference On Web And Social Media (ICWSM), 2023},
  year={2023}
}

In case of questions, please do not hesitate to contact us: felipegp[at]cs.ubc.ca (https://gonzalezf.github.io)

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

This dataset will be made available to researchers focusing on studying hate speech on the Web after they provide a few sentences on how they intend to use the dataset.

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