🤖 AI Summary
This paper examines how platforms allocate user attention through content moderation and certification mechanisms while optimizing resource allocation under price discrimination. It introduces the first market-based “certifiable-for-sale” model, commodifying certification services to enable a single certification to cover heterogeneous content from both high- and low-willingness-to-pay providers—thereby facilitating cross-group subsidy. Using tools from game theory, information economics, and optimal price discrimination, the analysis demonstrates that this mechanism enhances content diversity and total social surplus. Crucially, it shows that regulatory mandates requiring certification to be “fully accurate” can reduce consumer welfare. The core contributions are: (i) a novel paradigm of certification commodification; (ii) identification and quantification of the positive effects of cross-subsidy on diversity and allocative efficiency; and (iii) theoretical foundations for platform governance and evidence-informed regulatory policy.
📝 Abstract
We introduce a model of content moderation for sale, where a platform can channel attention in two ways: direct steering that makes content visible to consumers and certification that controls what consumers know about the content. The platform optimally price discriminates using both instruments. Content from higher willingness-to-pay providers enjoys higher quality certification and more views. The platform cross-subsidizes content: the same certificate is assigned to content from low willingness-to-pay providers that appeals to consumers and content from higher willingness-to-pay providers that does not. Cross-subsidization can benefit consumers by making content more diverse; regulation enforcing accurate certification may be harmful.