Amanda Y Agan

In their words

• “Similarly, Agan et al. [1] suggest that since cognitive biases are more likely to be triggered during fast, intuitive thinking (“system 1”), algorithms trained on more passive or impulsive behaviors—like time spent watching a video or lingering on a tweet—are likely to replicate these biases.”

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

In the claim ledger

2 promoted claims about them. Assessments are the model’s knowledge, not verification.

• Contrary to Agan et al.'s Facebook result, political in-group preference appears partly deliberate rather than purely automatic.

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

• Agan et al.'s thesis: ranking trained on impulsive behaviour reproduces System 1 cognitive biases.

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