The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health — and How We Must Adapt

Sinan Aral is a professor at MIT Sloan and one of the world's leading researchers on social media and misinformation. His research — including the landmark 2018 Science paper co-authored with Soroush Vosoughi and Deb Roy, which found that false news spreads faster, further, and more broadly than true news on Twitter — has shaped the empirical foundation of the field. The Hype Machine is the synthesis of that research programme, translating findings from social science into policy-relevant conclusions.

Aral's central argument is that social media operates as a hype machine — a system structurally designed to amplify emotional, novel, and outrage-inducing content regardless of its accuracy. The implications for information operations are direct: the architecture of social media platforms does not merely allow disinformation to spread, it actively accelerates it. The book covers political advertising, health misinformation, economic disruption, and electoral interference, making it one of the most comprehensive empirically grounded accounts of social media's systemic effects. For practitioners advising clients on platform risk or information environment assessments, Aral provides the data to support what many have intuited: that the threat is not just external actors, but the platforms themselves.