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Market-oriented Disinformation Research

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About this book

"Market-Oriented Disinformation Research explores the spread of false or misleading information online through the lens of marketing theory and consumer research. It examines how the business models of digital platforms and advertising technology firms (AdTech) generate digital markets that incentivize the circulation of harmful content for profit. Rather than viewing disinformation and misinformation as accidental byproducts, the book proposes that they thrive in the current markets designed for digital advertising and influencer marketing. Readers will learn how the amplification of disinformation can be linked to social media's business model. Examples include how social media algorithms promote addictive content, how fake news sites use ad fraud to lure in advertising revenue, and how some content creators rely on clickbait, ragebait, bots, and conspiracy theories to boost their engagement metrics. The book is a must-read for scholars in journalism, media studies, and political communication, as well as policymakers interested in the democratic governance of social media platforms. In addition, it calls for digital marketing, advertising, and brand management professionals to take responsibility for their ad spending by advocating for greater oversight over AdTech intermediaries to prevent unethical actors from monetizing the harmful content that polarizes society and undermines democratic institutions"-- Provided by publisher.
Language
English
Publisher
Project Gutenberg
Release date
January 1, 2025
Downloads
Unknown

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A clearer way to understand Market-oriented Disinformation Research through themes, characters, and key ideas

This reading guide highlights what stands out in Market-oriented Disinformation Research through 4 core themes, 5 character profiles. It is meant to help readers decide whether the book fits their taste and deepen the reading once they begin.

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What the book is doing

Carlos Diaz Ruiz's "Market-oriented Disinformation Research" offers a groundbreaking perspective on the proliferation of false information online, positing it not as an accidental byproduct but as an inherent outcome of digital platforms' and AdTech firms' profit-driven business models. The book argues that the current architecture of digital advertising and influencer marketing actively incentivizes the creation and amplification of harmful content, including fake news, clickbait, and conspiracy theories, for financial gain. By applying marketing theory and consumer research, it meticulously details how social media algorithms promote addictive content and how ad fraud exploits the system, ultimately linking disinformation's spread directly to commercial imperatives. This critical analysis serves as an urgent call for accountability from industry professionals and policymakers alike, advocating for greater oversight to safeguard democratic institutions from the polarizing effects of monetized misinformation.

Key Themes

Economic Incentives of Disinformation

This is the central thesis of the book, arguing that the spread of disinformation is not accidental but systematically incentivized by the profit-driven models of digital platforms and AdTech. It delves into how engagement metrics, ad revenue, and data monetization create a market where harmful content flourishes because it generates clicks and attention.

Platform Responsibility and Accountability

The book implicitly and explicitly highlights the immense power and responsibility of digital platforms in shaping public discourse. It argues that their business models, which prioritize engagement and profit, inadvertently or directly contribute to the amplification of disinformation, necessitating greater accountability and potentially regulatory intervention.

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"Market-Oriented Disinformation Research explores the spread of false or misleading information online through the lens of marketing theory and consumer research."
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How do the business models of major social media platforms specifically incentivize the spread of harmful content, and what are the alternatives?

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