Algorithmic Governance: Auditing Search and Recommendation Algorithms for Problematic Content
Explore the critical issue of algorithmic governance in online social systems through this Stanford seminar. Delve into systematic investigations of algorithmic misinformation and learn about auditing search and recommendation algorithms for problematic content. Discover the results of algorithmic audits conducted on YouTube and Amazon, examining how these platforms' algorithms can surface harmful misinformation and conspiracy theories. Gain insights into developing effective long-term algorithmic governance strategies, the challenges involved, and emerging opportunities in the era of large language models. Led by Dr. Tanu Mitra, an expert in social computing and algorithmic experiences from the University of Washington, this talk offers valuable perspectives on safeguarding our digital ecosystems and democracy from the negative impacts of unchecked algorithmic systems.