New Haven, 2020. First edition. First printing (with full number line including 1). Hardbound. Very Fine in a very fine jacket. A clean tight unread copy, brand new. Comes with archival-quality mylar jacket protector. Smoke-free.

Bestandsnummer des Verk�ufers Yale-2022-7

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Bibliografische Details

Titel: Lie Machines: How to Save Democracy from Troll Armies, Deceitful Robots, Junk News Operations, and Political Operatives (First Edition)
Verlag: Yale University Press, New Haven
Erscheinungsjahr: 2020
Sprache: Englisch
ISBN-10: 0300250207
ISBN-13: 9780300250206
Einband: Hardcover
Auflage: 1st Edition
Zustand: As New
Zustand des Schutzumschlags: As New

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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 explains how to shut them down.

�ber die Autorin bzw. den Autor

Philip N. Howard is director of the Oxford Internet Institute and the author of nine books, including Pax Technica: How the Internet of Things May Set Us Free or Lock Us Up, which was praised in the Financial Times as “timely and important.” He is a frequent commentator on the impact of technology on political life, contributing to the New York Times, Financial Times, and other media outlets.

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