Exercise 1: Codebooks and Data Output (10 points) The data for this exercise come from the Twitter Transparency Report. Twitter identified thousands of fake accounts and associated tweets posted by the Internet Research Agency and the GRU as part of the Russian inuence operation on social media. Below is the codebook information for a selection of the variables in the full dataset of Russian tweets; you'll notice that it contains variable descriptions but no values. Following that is output concerning the structure of the dataset of all English-language tweets from the Russian fake accounts identified through February 2021. Codebook lnfonnation tweetid - tweet identification number user_repor'ted_location - the user's selfreported location (*) follower_count - the number of accounts following the user (*1 following_count - the number of accounts followed by the user [*I account_language - the language of the account, as chosen by the user tweet_language - the language of the tweet tweet_text - the text of the tweet (mentions of anonymized accounts have been replaced with anonymized userid) like_count - the number of likes that this tweet received (A) retweet_count - the number of retweets that this tweet received (A) hashtags - a list of hashtags used in this tweet