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.

The files include: 1- Public: 39 items of CSV files for the dates (day by day) starting 09/06/2020 to 09/23/2020 1 file combined for all the dates (+185k of tweets with the desired keywords) 2- Government Locals: CA: Counties of Napa, Mendocino, Santa Clara, Sonoma, and Fresno OR: City of Salem, and Counties of Lane, Clackamas, Jackson, and Multnomah CO: County of Larimer and Boulder Cities of Boulder, Grand Junction, Glenwood Springs, and Cortex 15 accounts in total State-level: Governors of three states, California, Colorado, and Oregon Congress representatives: 5 for each state 18 accounts in total Federal: 6 senators, California, Colorado, and Oregon

Information Provided for each tweet: Date/Time UserID UserName Tweet's text Number of retweets Number of likes Provide:

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