Paul Bouchaud

In their words

• “For example, in concurrent work, Bouchaud et al. [9] conducted such an audit of Twitter and found that the ranking algorithm selected more emotionally valent content compared to the reverse-chronological baseline.”

  · Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media · machine-resolved

In the claim ledger

1 promoted claim about them. Assessments are the model’s knowledge, not verification.

• Users view about 30 tweets per Twitter session, so a top-ten window is a defensible slice.

  plausible · Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media