Think Tank für die Gesellschaft
im technologischen Wandel

Analyzing YouTube's Interconnected Components as a Case Study for Comprehensive Platform Audits and Risk Assessment

Today’s online platforms rely heavily on recommendation systems to serve content to their users; social media is a prime example. In turn, recommendation systems largely depend on artificial intelligence algorithms to decide who gets to see what. Although the content social media platforms deliver is as varied as the users who engage with it, it has been shown that some content can seriously harm individuals, groups and societies. Studies have suggested that these negative impacts range from worsening an individual’s mental health to driving society-wide polarisation capable of putting democracies at risk. 

This Data Briefs analyses the global distribution of semiconductor research power across academic institutions and industry.