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Stampede Theory - Human Nature, Technology, and Runaway Social Realities (Paperback)
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Stampede Theory - Human Nature, Technology, and Runaway Social Realities (Paperback)
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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.
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