European University Institute Library

Lie machines, how to save democracy from troll armies, deceitful robots, junk news operations, and political operatives, Philip N. Howard

Label
Lie machines, how to save democracy from troll armies, deceitful robots, junk news operations, and political operatives, Philip N. Howard
Language
eng
Bibliography note
Includes bibliographical references and index
Index
index present
Main title
Lie machines
Medium
electronic resource
Nature of contents
bibliographydictionaries
Oclc number
1153896281
Responsibility statement
Philip N. Howard
Series statement
JSTOR eBooks
Sub title
how to save democracy from troll armies, deceitful robots, junk news operations, and political operatives
Summary
Technology is breaking politics - what can be done about it? Artificially intelligent "bot" accounts attack politicians and public figures on social media. Conspiracy theorists publish junk news sites to promote their outlandish beliefs. Campaigners create fake dating profiles to attract young voters. We live in a world of technologies that misdirect our attention, poison our political conversations, and jeopardize our democracies. With massive amounts of social media and public polling data, and in depth interviews with political consultants, bot writers, and journalists, Philip N. Howard offers ways to take these "lie machines" apart. Lie Machines is full of riveting behind the scenes stories from the world's biggest and most damagingly successful misinformation initiatives-including those used in Brexit and U.S. elections. Howard not only shows how these campaigns evolved from older propaganda operations but also exposes their new powers, gives us insight into their effectiveness, and shows us how to shut them down.--, Provided by publisher
Table Of Contents
Preface -- The science and technology of lie machines -- Production : troll armies and the organization of misinformation on social media -- Distribution : deceitful robots and politics in code -- Marketing : junk news operations and news we shouldn't use -- Tracing impact and influence -- Future-proof solutions for a data-rich democracy
Content
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