How is AI transforming the ways society decides what is true? Algorithms now go beyond detecting misinformation. They operate with agentic reasoning, identifying patterns, evaluating credibility, and shaping how truth is defined. Algorithmic Fact-Verification: Methods and Ethics explains how human judgment and machine intelligence intertwine in the creation of trust and credibility. It examines the social and moral consequences of giving AI an active role in verification, offering an accessible and thought-provoking account of how AI fact-checking is reshaping journalism, knowledge, and democracy in the digital age. Moving beyond the technicalities of misinformation detection, Shin analyzes how truth is produced, governed, and contested in the algorithmic age. Through a synthesis of communication theory, cognitive epistemology, and science and technology studies, we trace fact-checking's evolution from a reactive journalistic practice into an automated, infrastructural system endowed w
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