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README.md
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RoBERTa model for detecting framing elements in tweets related to social movements.
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Multilabel classification of 7 categories:
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- problem identification (diagnostic core framing task)
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- blame attribution (diagnostic core framing task)
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- proposing solutions (prognostic core framing task)
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- discussing tactics (prognostic core framing task)
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- expressing solidarity / celebrating a movement (prognostic core framing task)
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- counterframing / challenging the opposite sides' arguments (prognostic core framing task)
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- motivational / calls to action (motivational core framing task)
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The model is trained on Twitter data from three issue areas: guns, LGBTQ rights, and immigration.
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All data is in English and written in 2018-2019.
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Paper: https://journalqd.org/article/view/5896
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