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Source code for the paper: "Linguistic Characterization of Divisive Topics ONline: Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control

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SALT-NLP/contentiousness

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Secondary Downloads

Download the complete data, including all features, here

Then, download the discourse model here

Instructions

To get the BERT representations, use compute_bert_representations.py, then use contentiousness_pipeline.py to perform the experiments.

Example: python contentiousness_pipeline.py --topic abortion --data keyword_data/abortion.pickle

Requires python>=3.8.

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Source code for the paper: "Linguistic Characterization of Divisive Topics ONline: Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control

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