Data, AI and Noise:
The Search for Truth in
Information and Algorithms
Coming November 2, 2026
Wiley Publishing
Data, AI, and Noise: The Search for Truth in Information and Algorithms examines how information authority, trust, and decision-making are being reshaped as we move away from traditional newsrooms, academic institutions, and vetted media sources toward AI and algorithm-driven information ecosystems.
Social media platforms that are infused with generative AI images and videos are a growing source of information. But what can we trust when there is an ungated amount of misinformation? The platforms we use daily can reach audiences at a scale far beyond traditional information sources and are optimized for engagement rather than accuracy or civic value. Trust is in peril.
Data professionals and industry leaders of corporate strategy, education, and public policy need to understand how AI is subtly influencing judgement, and increasingly displacing human accountability. Consumers need to be aware of how companies are using AI and the potential pitfalls in a largely unregulated AI world.
This book explores the implications of these shifts for governance, academic research, and organizational decision-making, and outlines why reinforcing transparency, information literacy, and human oversight has become a leadership imperative in the AI era.
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Data Duped:
How to Avoid Being Hoodwinked by Misinformation
Available Now
We are commonly deceived by numbers and data in our everyday lives. From lotteries, product warranties, and weight-loss fads, to misleading headlines and social media posts. Data Duped helps you avoid common pitfalls and develop a sense of ‘data defense’ so you can discern fact from fiction.
Data Duped is a book about how we are commonly deceived by numbers in our everyday lives. From lotteries, product warranties, and weight loss fads to misleading headlines and social media posts, there is no shortage of confusing or misleading information. Numbers are used to manipulate our decisions and impact our lives in ways that may not be immediately apparent. Data Duped will help you avoid being fooled by these messages and to develop a sense of ‘data defense’ by learning what types of questions to ask and how to maintain a healthy level of curiosity and data skepticism.
Data Duped guides readers to discern the differences between the plausible and the ridiculous along a journey of informed critical thinking and data literacy. With historical parallels alongside practical and relatable examples, readers will learn how to spot misdirection from the truth and how to avoid being hoodwinked by misinformation.
Available from Rowman & Littlefield, Bloomsbury publishers
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Also Available in the UK:
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