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Data versus Democracy
Af: Kris Shaffer Engelsk Paperback
SPAR
kr 49
Data versus Democracy
Af: Kris Shaffer Engelsk Paperback
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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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.


Produktdetaljer
Sprog: Engelsk
Sider: 120
ISBN-13: 9781484245392
Indbinding: Paperback
Udgave:
ISBN-10: 1484245393
Udg. Dato: 3 jul 2019
Længde: 16mm
Bredde: 155mm
Højde: 233mm
Oplagsdato: 3 jul 2019
Forfatter(e): Kris Shaffer
Forfatter(e) Kris Shaffer


Kategori Ekspert - og vidensbaserede systemer


Sprog Engelsk


Indbinding Paperback


Sider 120


Udgave


Længde 16mm


Bredde 155mm


Højde 233mm

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