The speed of news in Twitter (X) versus radio - data

Replication data for the paper “The speed of news in Twitter (X) versus radio”. If you use these datasets in a published work, please cite our paper!The dataset contains the following files:Tweet IDs:auto-elite-tweet-ids.csv.gz: Tweet IDs for automatically detected event analysis, elite usersauto-firehose-tweet-ids.csv.gz: Tweet IDs for automatically detected event analysis, firehosemanual-elite-tweet-ids.csv.gz: Tweet IDs for manually detected even analysis, elite usersmanual-firehose-tweet-ids.csv.gz: Tweet IDs for manually detected even analysis, firehoseManually detected events data:manual-radio-raw.csv.gz: Item-level information for radio speaker turns used in manually detected event analysismanual-radio-ticks.csv: Radio “tick” data for manually detected event analysis (i.e., counts of keyword mentions by 15-minute bin)Automatically detected events item-level data:auto-radio-sample.csv.gz: Item-level information for radio speaker turns used in automatically detected event analysisAutomatically detected events story-level data:auto-radio-story-stats.csv: Statistics about automatically detected eventsauto-radio-story-selected.csv: Selected events after filtering out non-news eventsauto-radio-story-stats-con.csv: Statistics about automatically detected events as restricted to conservativesauto-radio-story-stats-lib.csv: Statistics about automatically detected events as restricted to liberalsauto-radio-story-cdfs.npy.gz: Empirical CDFs for automatically detected eventsauto-radio-story-cdfs-con.npy.gz: Empirical CDFs for automatically detected events as restricted to conservativesauto-radio-story-cdfs-lib.npy.gz: Empirical CDFs for automatically detected events as restricted to liberals