Empirical look at user behavior (Day 2, Optimizing for What? Algorithmic Amplification and Society)

Algorithms learn from users’ behavior, and users rely on algorithm-mediated social learning. What is the nature of the resulting feedback loop? How can platforms empower users to make better informed decisions about potential disinformation? Conversely, what design interfaces can allow users to actively teach platforms their preferences?

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On April 28-29, 2023, the Knight Institute hosted a symposium to explore how online amplification works and to consider interventions that would mitigate some of the harms caused by amplification, or allow us to take fuller advantage of the benefits. The symposium, “Optimizing for What? Algorithmic Amplification and Society,” is a collaboration between the Knight Institute and the Institute’s Visiting Senior Research Scientist Arvind Narayanan.

Panelists:
Jason Burton, Copenhagen Business School and Max Planck Institute for Human Development
Kevin Feng, University of Washington
Benjamin Kaiser, Princeton University
Angela Lai, New York University

Moderator:
Mor Naaman, Cornell Tech

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The Knight First Amendment Institute defends the freedoms of speech and the press in the digital age through strategic litigation, research, and public education. Our aim is to promote a system of free expression that is open and inclusive, that broadens and elevates public discourse, and that fosters creativity, accountability, and effective self-government.

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