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Synthetic Hate

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Hardback
238 Pages
26 August 2026
RRP: $362.00
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Synthetic Hate investigates how extremists exploit artificial intelligence (AI) to modernize the world’s oldest hatred. Antisemitism – rooted in religious discrimination, medieval blood libels, Nazi propaganda, and contemporary Islamist and far-right conspiracies – has found new life through generative tools that can produce persuasive text, images, audio, and video at scale.

Drawing on documented cases and controlled demonstrations, the book shows how large language models (LLMs), deepfakes, bots, and recommendation systems enable cheap, rapid, and adaptive propaganda – memes that evade moderation, fabricated “evidence,” synthetic voices, and narrative laundering that spreads across platforms and into mainstream feeds. The result is not “new” hate, but hate that is faster, more convincing, and harder to police.

Crucially, Synthetic Hate goes beyond diagnosis, and it lays out a practical counterstrategy of technical safeguards, platform accountability and regulation, and education and resilience, so policymakers, researchers, and practitioners can blunt AI-amplified antisemitism and hate without sacrificing democratic values.

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    Product Details
    ISBN-13
    9781041333593
    Author
    Lev Topor
    Publisher
    Taylor & Francis
    Published
    26 August 2026
    Format
    Hardback
    Pages
    238

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    RRP: $362.00
    $357.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Synthetic Hate

    RRP: $362.00
    $357.00

    Description

    Synthetic Hate investigates how extremists exploit artificial intelligence (AI) to modernize the world’s oldest hatred. Antisemitism – rooted in religious discrimination, medieval blood libels, Nazi propaganda, and contemporary Islamist and far-right conspiracies – has found new life through generative tools that can produce persuasive text, images, audio, and video at scale.

    Drawing on documented cases and controlled demonstrations, the book shows how large language models (LLMs), deepfakes, bots, and recommendation systems enable cheap, rapid, and adaptive propaganda – memes that evade moderation, fabricated “evidence,” synthetic voices, and narrative laundering that spreads across platforms and into mainstream feeds. The result is not “new” hate, but hate that is faster, more convincing, and harder to police.

    Crucially, Synthetic Hate goes beyond diagnosis, and it lays out a practical counterstrategy of technical safeguards, platform accountability and regulation, and education and resilience, so policymakers, researchers, and practitioners can blunt AI-amplified antisemitism and hate without sacrificing democratic values.

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