Identifying and characterizing superspreaders of low-credibility Twitter content

Nicely written paper. Only big issue I see is that the 2020 dataset they used renders the discussion of verified Twitter accounts moot, since the rules on verification have completely changed since then, and verified accounts now also have financial incentives to maximize engagement.

Aggravating not to be able to apply the finding directly, since access to the streaming API now requires a $5000/month subscription.

Analysis of the paper is also on the ABC:

"Misinformation posted to Twitter comes from 'superspreader' accounts, say researchers, amid warnings for future of content moderation on X"

https://www.abc.net.au/news/2024-05-23/twitter-misinformatio...