Linguistic Characterization of Contentious Topics Online - Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control

Secondary Downloads

Download the complete data, including all features, here

Then, download the discourse model here

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.

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
keyword_data		keyword_data
models		models
README.md		README.md
build_user_profile.py		build_user_profile.py
compute_bert_representation.py		compute_bert_representation.py
contentiousness_pipeline.py		contentiousness_pipeline.py
controversy_pipeline.py		controversy_pipeline.py
filter_dataset.py		filter_dataset.py
get_genders.py		get_genders.py
get_locations.py		get_locations.py
get_odds_ratios.py		get_odds_ratios.py
get_post_histories.py		get_post_histories.py
get_tenures.py		get_tenures.py
text_parser.py		text_parser.py
utils.py		utils.py