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
- Gemini 2.0 Flash: An outstanding multi-modal LLM with a sci-fi streaming mode - 11th December 2024
- ChatGPT Canvas can make API requests now, but it's complicated - 10th December 2024
- I can now run a GPT-4 class model on my laptop - 9th December 2024