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What US Lawsuits Reveal About Platform Design That DSA Reports Don’t

Commentary /

What US Lawsuits Reveal About Platform Design That DSA Reports Don’t

TikTok’s and Meta’s 2025 DSA risk assessments describe a range of risks and a multitude of mitigations addressing risks to minors: screentime management, parental controls, privacy-oriented design defaults, and restrictions on notifications. However, the risk assessments provide very little information about the level of risks and the effectiveness of chosen mitigations. Internal company documents released in US litigation, on the other hand, tell a different story.

Peter Chapman, Matt Steinberg

Measuring Risk: What EU Risk Assessments and US Litigation Reveal About Meta and TikTok

Report /

Measuring Risk: What EU Risk Assessments and US Litigation Reveal About Meta and TikTok

Across the EU and US, two influential digital governance regimes are producing new evidence about how large social media companies assess and respond to potential risks on their platforms. KGI’s latest report compares Meta and TikTok’s EU risk assessments with internal documents emerging from US litigation, revealing significant gaps between public claims about risk mitigation and evidence of how these risks are actually addressed.

Peter Chapman, Matt Steinberg

Age Assurance Online: A Technical Assessment of Current Systems and their Limitations

Report /

Age Assurance Online: A Technical Assessment of Current Systems and their Limitations

Governments around the world are adopting online age assurance requirements of different kinds, reshaping how digital services are accessed by adults and youth. KGI’s latest report provides a technical assessment of how age assurance systems work in practice and examines their accuracy, circumvention resistance, availability, and privacy implications.

Eric Rescorla, Zander Arnao, Alissa Cooper

Bringing Better Feeds to Life

Commentary /

Bringing Better Feeds to Life

Algorithms determine what we read, watch, and encounter online, and, increasingly, they also influence our offline lives. Yet algorithms are often built to maximize short-term engagement and capture attention, rather than to deliver long-term value to users. KGI’s new commentary takes a deep dive into the evolving landscape of recommender system design, highlighting six innovative trends that show it is possible to design better feeds that put people first.

Andrea Dean

Introducing Model Legislation for Better Algorithmic Feeds

Model Text /

Introducing Model Legislation for Better Algorithmic Feeds

Model legislation published by the Knight-Georgetown Institute provides a pathway for lawmakers who want to encourage better algorithmic feeds that put users’ interests front and center.

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