Information Control in Autocracies: A Review Essay

The study of information control has matured into a crucial subfield at the intersection of political science, communication, and computational social science. The literature has made important strides in theorizing information control and has increasingly relied on diverse methodological approaches, including experiments, text-as-data methods, and the analysis of large-scale digital trace data, often supported by advances in machine learning and AI. We now understand that censorship, propaganda, surveillance, and repression should be seen as producing integrated systems of control that should be studied as such. Despite this progress, there are open questions. The field has yet to reach a definitive understanding of the long-term effects of information control—on public opinion, those who produce information, or overall regime stability. We also need to understand why certain individuals or groups are more resistant to state narratives—and how alternative sources of information manage to break through in tightly controlled environments. Technological advance also continues to reshape the information environment, requiring the field to keep pace with new forms of digital adaptation, from algorithmic content moderation to synthetic media.