Published March 12, 2024 | Version v1
Dataset Restricted

Online Hostility towards UK MPs

Contributors

Data collector:

  • 1. ROR icon University of Sheffield

Description

This is a dataset with tweets from X. Each tweet mentions one or more UK MPs from a subset selected for our study to give a diverse representation of political leanings. Each tweet is labelled for hostility and the identity characteristic it targets (religion, race, gender). Each annotator also provides a confidence score for each label. Three annotators annotate each tweet. Annotators are UK-based students from Computer Science and Politics.

Files

Restricted

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

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

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:

In order to share the dataset with you, please agree to the following terms:

  1. You will use the dataset strictly for research purposes. The request for access to the dataset must be sent from the official and existing e-mail address of the relevant university, faculty or other scientific or research institution (for verification purposes).
  2. You will not attempt to identify, deanonymize or contact the authors of the social media posts included in this dataset.
  3. You will not re-share the dataset with anyone else not included in this request.
  4. You will appropriately cite the papers mentioned in the dataset description in any publication, project, or tool using this dataset.
  5. You acknowledge that you are fully responsible for using the dataset (data) and for any infringement of rights of third parties (in particular copyright) that may arise from its use beyond the intended purposes. Neither the authors nor the University of Sheffield are responsible for your actions.

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Additional details

Funding

UK Research and Innovation
Responsible AI for Inclusive, Democratic Societies: A cross-disciplinary approach to detecting and countering abusive language online ES/T012714/1