Methods

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

How do unconscious motivational needs (i.e., implicit motives) influence physiology, cognition, emotion, and behavior? What are the fundamental motives and how do they operate and interact with incentives? How can motives be measured and when is a motive measure valid? How are motives shaped by biology and culture, how do they influence political and societal processes? How can we use knowledge about implicit motives in clinical, business, and sport contexts to help people achieve their goals? These are some of the topics this comprehensive book presents in 27 clearly written chapters, contributed by leading authorities in the field. It represents a state-of-the-art reference for all researchers and practitioners interested in human motivation. The first section addresses fundamental questions about the nature of motivational incentives, the role of learning in motivation, and paradigms for the experimental study of motivation. It also portrays how motives, power, affiliation, achievem