The House Intelligence Committee released 3,517 Facebook ads that were
reported to have been bought by the Russian Internet Research Agency as a
set of redacted PDF files.
This tool lets you search and browse through those ads.
Example searches: black lives matter,
You can sort the adverts by $USD equivalent spent
to see where the most money went. Conversion from rubles is calculated at
0.016 dollar per ruble.
One of the most interesting aspects of this data is the Facebook targeting
options that were used. You can explore the
most frequent targets and see which adverts were assigned based on which
Interested in the total spend? Here it is, broken down by currency.
Full background on this project can be found on my blog: Analyzing US Election Russian Facebook Ads
A big thanks to Ed Summers who built the code
that extracts raw information and metadata from the PDFs released by Congress.
The code by Simon Willison that loads that data into this Datasette instance is
available on GitHub.
Advanced feature: search by Python compatible regular expression:
40,947 rows in 3 tables,
7,238 rows in 5 hidden tables
ad_targets, ads, targets