YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

RoBERTa model for detecting framing elements in tweets related to social movements.

Multilabel classification of 7 categories:

  • problem identification (diagnostic core framing task)
  • blame attribution (diagnostic core framing task)
  • proposing solutions (prognostic core framing task)
  • discussing tactics (prognostic core framing task)
  • expressing solidarity / celebrating a movement (prognostic core framing task)
  • counterframing / challenging the opposite sides' arguments (prognostic core framing task)
  • motivational / calls to action (motivational core framing task)

The model is trained on Twitter data from three issue areas: guns, LGBTQ rights, and immigration. All data is in English and written in 2018-2019.

Paper: https://journalqd.org/article/view/5896

Downloads last month
14
Inference API
Unable to determine this model’s pipeline type. Check the docs .