incivility-UOH/TwitCivility

Overview

The TwitCivility dataset is specifically developed to classify political incivility, focusing on multidimensional aspects of impoliteness and intolerance. Detailed methodologies are outlined in our paper.

Languages

All text is written in English.

Dataset Structure

Data Fields

We release TwitCivility as a data frame with the following fields: <br /> text: This field contains the text (after preprocessing and anonymization) of the tweet. <br /> impoliteness: A binary indicator (1 or 0) representing the presence of impoliteness in the text. A value of 1 signifies impoliteness, while 0 indicates non-impoliteness. <br /> intolerance: Similarly, this binary value denotes the presence of intolerance in the text, with 1 indicating intolerance and 0 signifying non-intolerance. <br />

Citation Information

@misc{incivility2023,
      title={Detecting Multidimensional Political Incivility on Social Media}, 
      author={Sagi Pendzel and Nir Lotan and Alon Zoizner and Einat Minkov},
      year={2023},
      eprint={2305.14964},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}