William J Brady

In their words

• “For example, Brady et al. [13] suggest that, “content algorithms systematically exploit human social-learning biases because they are designed to optimize attentional capture and engagement time on the platform, and social-learning biases strongly predict what users will want to see.””

  · 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.

• Quoting Brady et al.: engagement optimisation systematically exploits human social-learning biases, because those biases predict attention.

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