Article Webinar: Alternative recommender systems in the DSA [recording] Facebook Files provided yet another confirmation that the company's extremely profitable recommender systems come at a high price paid by vulnerable individuals and our societies. Algorithms optimised for engagement amplify toxic content, such as hate speech or disinformation, and target humans based on their vulnerabilities. 23.11.2021 Text
other Safe by Default – Panoptykon Foundation and People vs BigTech’s Briefing Moving away from engagement-based rankings towards safe, rights-respecting, and human centric recommender systems. 05.03.2024
other Joint Submission on the Commission’s Guidelines for Providers of VLOPs and VLOSEs on the Mitigation of Systemic Risks for Electoral Processes Part 1 introduces how recommender systems contribute to systemic risks. Part 2 responds to the Commission’s proposals to moderate virality of content that threatens the integrity of the electoral process. 07.03.2024
