- exp3: queried canadian trucker hashtags to find users (match rate: 98%) - 22-day campaign - exp4: queried "deep state" to find users (match rate: 98%) - 9-day campaign # pre-campaign total # tweets (all tweets - retweets tweets etc.) ![[1675736085.png]] # pre-campaign total # domains for figure below, didn't count # domains per day for exp1 and exp2 ![[1675736299.png]] # pre-campaign # domains in our 11k list ![[1675736351.png]] # median values ```r feature campaign median_val 1: t0_tweets_perday exp1-pilot 0.1818 2: t0_tweets_perday exp2-main 0.0952 3: t0_tweets_perday exp3-trucker 34.7778 4: t0_tweets_perday exp4-deepstate 36.4615 5: t0_tweets_perday_log exp1-pilot 0.1671 6: t0_tweets_perday_log exp2-main 0.0910 7: t0_tweets_perday_log exp3-trucker 3.5773 8: t0_tweets_perday_log exp4-deepstate 3.6233 # total no. of domains 9: t0_domain_n_per_day exp3-trucker 4.0000 10: t0_domain_n_per_day exp4-deepstate 2.3077 11: t0_domain_n_per_day_log exp3-trucker 1.6094 12: t0_domain_n_per_day_log exp4-deepstate 1.1963 # no. of domains in our 11k list 13: t0_domain_pc1_n_per_day exp3-trucker 1.7778 14: t0_domain_pc1_n_per_day exp4-deepstate 0.6154 15: t0_domain_pc1_n_per_day_log exp3-trucker 1.0217 16: t0_domain_pc1_n_per_day_log exp4-deepstate 0.4796 ```