Stampede Theory Human Nature Technology And Runaway Social Realities Philip Feldman by Philip Feldman 9780443137358, 0443137358 instant download after payment.

Stampede Theory: Human Nature, Technology, and Runaway Social Realities explores the biological, evolutionary, and technological systems that drive troubling patterns of behavior among groups and proposes actions to help combat their potential to do harm. It discusses the different ways that living beings coordinate, and how the emergence of communication technologies has changed that for people. As the problem of echo chambers and misinformation grows, it is crucial to understand the underlying causes and provide solutions-this book does just that. Stampede Theory pulls from multiple fields to produce a coherent story about how social realities are created and how they can create resilient communities or reinforce damaging beliefs. This interdisciplinary approach rests on three primary pillars: 1) How information systems affect the distribution of ideas, information, influence and belief; 2. Technology-mediated communication between individuals and groups, from stories pressed into clay tablets to "likes” on social media; 3) The sociology of behavioral bias in groups ranging from teams to nations. Because of its interdisciplinary foundations, the book includes chapters that address behavioral economics, cults, artificial intelligence, and the individual psychology of belief. These chapters offer perspective on how belief systems form, how they affect behavior, and how they are influenced by technology-mediated communication. Most importantly, this book explains how to design interventions that will improve the quality of our collective information and indirectly, our behavior, using clear, measurable criteria that indicate dangerous misinformation based on the way that humans and software agents are interacting with it. Stampede Theory is a valuable resource for a range of readers, from political and social scientists to decision makers in government and business, scientists in the fields of machine learning and AI, and media professionals, who are working to make sense of the world in a time of vast amounts of misinformation and polarization.