{"url":"/dataset/wildfireclimatechangetweets","name":"wildFireClimateChangeTweets","full_name":null,"description_markdown":"Here I provided the datasets I used for this analysis. It includes the tweets I streamed using the Tweepy package on Python during the peach of the wildfire season in late summer/early fall of 2020.\r\n\r\nThe files include:\r\n1- Public: \r\n39 items of CSV files for the dates (day by day) starting 09/06/2020 to 09/23/2020 \r\n  1 file combined for all the dates (+185k of tweets with the desired keywords) \r\n2- Government\r\n  Locals: \r\n  CA: Counties of Napa, Mendocino, Santa Clara, Sonoma, and Fresno \r\n  OR: City of Salem, and Counties of Lane, Clackamas, Jackson, and Multnomah \r\n  CO: County of Larimer and Boulder Cities of Boulder, Grand Junction, Glenwood Springs, and Cortex\r\n  15 accounts in total \r\n State-level: \r\n  Governors of three states, California, Colorado, and Oregon \r\n  Congress representatives: 5 for each state \r\n  18 accounts in total \r\nFederal: 6 senators, California, Colorado, and Oregon\r\n\r\n Information Provided for each tweet:\r\n Date/Time \r\n UserID \r\n UserName \r\n Tweet's text \r\n Number of retweets \r\n Number of likes\r\nProvide:","description_withheld":null,"homepage":"https://github.com/reabdi/WildFiresTopicModeling/tree/master/DataSet","introduced_date":"2022-02-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/wildfires-and-climate-change-what-does-social","title":"Wildfires and Climate Change: What does social media tell us on linkages and public understanding? (Preliminary White Paper, February 11, 2022)","first_author":null,"url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Tables","url":"/datasets/modality/tables"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["wildFireClimateChangeTweets"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}