Analyzing US Election troll tweets with Datasette
6th August 2018
FiveThirtyEight published nearly 3 million tweets from accounts associated with the Russian “Internet Research Agency”, based on research by Darren Linvill and Patrick Warren at at Clemson University.
FiveThirtyEight’s tweets were shared as CSV, so I’ve used my csvs-to-sqlite tool to convert them and used Datasette to publish them in a searchable, browsable interface: https://russian-troll-tweets.datasettes.com/
The data is most interesting if you apply faceting. Here’s the full set of tweets faceted by author, language, region, post type and account category:
The minimal source code for this Datasette instance is on GitHub.
More recent articles
- My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends - 10th January 2025
- Weeknotes: Starting 2025 a little slow - 4th January 2025
- I still don't think companies serve you ads based on spying through your microphone - 2nd January 2025