Data nerd based in Prague, interested in computational propaganda. Currently working with @cjurnalistului and as Head of Data for @privatemarket
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Apr 10, 2022 • 8 tweets • 5 min read
🧵 1/ Here's a more in depth thread about the actors in the Russian propaganda reaction to the Bucha massacre. We collected & analysed 4.2M tweets & retweets between April 3-8, so this should be quite representative of the overall conversation.
2/ You can compare this with my original reaction thread on the same topic, the preliminary results stand, but this adds a lot of detail.
🧵 1/ New thread about the Russian propaganda reaction to the Bucha massacre. We collected 193k related tweets & retweets on the April 3rd and and 295k on the 4th. Usual caveats apply, results are preliminary, read on for more. 2/ About 300k tweets are in English, with Spanish as the second most popular language (75k) and Italian in third place, with 30k tweets. On the mentions network for the 3rd there is a clearly visible propaganda cluster (mostly in spanish) at the top of the chart.
Mar 24, 2022 • 38 tweets • 17 min read
🧵1/ This is a new thread that covers the evolution of the "Pentagon secret biolabs in Ukraine" conspiracy. It covers content for March 3-20 and includes things from George Soros to Russian disinformation assets in action, with a healthy dose of US & Chinese participation.
2/ First about the data: we are currently collecting as many tweets as we can that contain the words Ukraine or Russia. Hundreds of thousands per day, much more in the beginning. Data referenced in this thread is just a subset of a (much) larger dataset.
Mar 16, 2022 • 32 tweets • 11 min read
1/ When the Russian invasion of Ukraine started, we started collecting tweets in order to be able to identify propaganda. The (very long) thread below covers the story of #istandwithrussia and #istandwithputin. Inspired by @marcowenjones' work.
2/ First about the data: we collected ~210k tweets for #istandwithputin, ~120k tweets for #istandwithrussia, plus about 20k attached images. There is significant overlap between the two hashtags, but there are also differences.