Acknowledgments
Introduction
1. The Taming of the Web and the Rise of Algorithmic News
2. Algorithmic Gatekeeping and the Transformation of News Organizations
3. The First Amendment, Fake News, and Filter Bubbles
4. The Structure of the Algorithmic Marketplace of Ideas
5. The Public-Interest Principle in Media Governance: Past and Present
6. Reviving the Public Interest
Conclusion
Notes
Index

Philip M. Napoli is the James R. Shepley Professor of Public Policy in the Sanford School of Public Policy at Duke University, where he is also a faculty affiliate with the DeWitt Wallace Center for Media and Democracy. His previous books include Audience Economics: Media Institutions and the Audience Marketplace (2003) and Audience Evolution: New Technologies and the Transformation of Media Audiences (2010), both from Columbia University Press.