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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.
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