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Data for the PLOS ONE manuscript titled "A machine-learning approach to increasing climate opinion survey richness utilizing public discourse"
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README.md
YCOM_2016_Data.01.csv
corpus_tweet_ids.csv
county_tweet_ids.csv
sensitivity_tweet_ids.csv

README.md

climate_twitter_data

Data for the PLOS ONE manuscript titled "A machine-learning approach to increasing climate opinion survey richness utilizing public discourse" to comply with PLOS data availability policies.

Files

  • corpus_tweet_ids.csv - tweet IDs used to develop primary topic model used in the study
  • county_tweet_ids.csv - tweet IDs used to create county-level topic distributions
  • sensitivity_tweet_ids.csv - tweet IDs used to develop sensitivity topic model used for comparison
  • YCOM_Data_2016.01.csv - Data from the Yale Climate Opinion Maps from the Yale Program on Climate Change Opinion
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