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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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Data versus Democracy - How Big Data Algorithms Shape Opinions and Alter the Course of History (Paperback, 1st ed.)
Loot Price: R580
Discovery Miles 5 800
You Save: R264
(31%)
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Data versus Democracy - How Big Data Algorithms Shape Opinions and Alter the Course of History (Paperback, 1st ed.)
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List price R844
Loot Price R580
Discovery Miles 5 800
You Save R264 (31%)
Expected to ship within 9 - 17 working days
|
Human attention is in the highest demand it has ever been. The
drastic increase in available information has compelled individuals
to find a way to sift through the media that is literally at their
fingertips. Content recommendation systems have emerged as the
technological solution to this social and informational problem,
but they've also created a bigger crisis in confirming our biases
by showing us only, and exactly, what it predicts we want to see.
Data versus Democracy investigates and explores how, in the era of
social media, human cognition, algorithmic recommendation systems,
and human psychology are all working together to reinforce (and
exaggerate) human bias. The dangerous confluence of these factors
is driving media narratives, influencing opinions, and possibly
changing election results. In this book, algorithmic
recommendations, clickbait, familiarity bias, propaganda, and other
pivotal concepts are analyzed and then expanded upon via
fascinating and timely case studies: the 2016 US presidential
election, Ferguson, GamerGate, international political movements,
and more events that come to affect every one of us. What are the
implications of how we engage with information in the digital age?
Data versus Democracy explores this topic and an abundance of
related crucial questions. We live in a culture vastly different
from any that has come before. In a society where engagement is
currency, we are the product. Understanding the value of our
attention, how organizations operate based on this concept, and how
engagement can be used against our best interests is essential in
responsibly equipping ourselves against the perils of
disinformation. Who This Book Is For Individuals who are curious
about how social media algorithms work and how they can be
manipulated to influence culture. Social media managers, data
scientists, data administrators, and educators will find this book
particularly relevant to their work.
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