Research & Commentary

As lawsuits mount and legislation proliferates aimed at stemming online harms, the battle over how algorithmic recommender systems should be designed is heating up. Yet common policy solutions that focus on mandating chronological feeds or limiting personalization fail to address the core issue: how to design recommender systems that align with users’ genuine long-term interests rather than exploiting their short-term impulses.

This month, the Knight-Georgetown Institute convened two events during Georgetown University’s fourth annual Tech & Society Week. KGI brought together leading experts, academics, and other key stakeholders across the digital technology landscape to explore some of the most pressing topics around social media platform design as well as consumer protection litigation aimed at keeping users safe online.

Google’s dominance in search has made it the subject of antitrust investigations and competition regulation around the world. The latest of these was the announcement in January 2025 that the United Kingdom was launching an investigation under its new digital markets competition regime. In public comments recently filed with UK competition authority, KGI has underscored the importance of being familiar with previous enforcement efforts around the world and prioritizing certain key aspects of competition.

The first round of Digital Services Act (DSA) recommender system audits are inconsistent in how platforms and auditors define key terms and assess recommender system performance. To ensure meaningful transparency, we need clear definitions, more data, and verifiable system outcomes.

Nearing the one-year anniversary of the DMA, KGI and the Yale Tobin Center gathered leading minds from academia, industry, and policy for the first DMA and Beyond conference. Attendees dissected the DMA’s early implementation, explored its ripple effects across global tech ecosystems, and debated the future blueprint for digital market regulation.