Copyright enforcement through content filtering by user-uploaded content platforms: a law and economics approach

The appropriate regulation of online platforms is widely debated. Advances in data processing and artificial intelligence increase the feasibility of content moderation by online platforms. The normative question to what extent such content moderation is desirable remains controversial. My research focusses on automated filtering employed by user-uploaded content platforms to remove copyright infringing content. I present an economic model of the strategic interaction between right holders and copiers to analyse the effect of automated filtering on the revenues of right holders, on the social costs and benefits of piracy and on the availability of copyright protected works on online platforms.