The Algorithmic Politician: How AI-Driven Personalization is Reshaping Voter Identity and Future Elections explores the seismic shift in democratic processes brought about by artificial intelligence and machine learning. The book dissects how political campaigns have evolved from broad, mass-media messaging to hyper-personalized, data-driven persuasion tactics. Through sophisticated voter profiling, predictive analytics, and algorithmic content optimization, political actors now wield unprecedented influence over individual voters, often without their awareness.

The book is structured into four parts:

The Digital Democracy Transformation – Examines the rise of AI in politics, from micro-targeting to machine learning in elections.

The Mechanics of Algorithmic Influence – Explores how personalized messaging, psychological manipulation, and social media algorithms shape voter behavior.

Impact on Democratic Processes – Analyzes the fragmentation of voter identity, electoral integrity threats, and the decline of shared political reality.

Future Implications and Regulatory Responses – Proposes frameworks for ethical AI governance and the future of democracy in an algorithm-dominated landscape.

A critical investigation of modern political machinery, The Algorithmic Politician warns of the erosion of democratic autonomy while offering solutions to safeguard elections from manipulation and preserve voter agency in the age of AI.