By Noah Giansiracusa
An accessible exploration of how AI algorithms both create and combat misinformation.
Subject
Themes
In an era where artificial intelligence shapes how we consume and create information, Noah Giansiracusa's comprehensive exploration reveals the dual-edged nature of algorithmic systems in our information ecosystem. As Barack Obama warned in 2016, our ability to distinguish between serious arguments and propaganda has become a fundamental challenge to democratic society, made more complex by the sophisticated algorithms that now mediate our access to news and information.
In an era where artificial intelligence shapes how we consume and create information, Noah Giansiracusa's comprehensive exploration reveals the dual-edged nature of algorithmic systems in our information ecosystem. As Barack Obama warned in 2016, our ability to distinguish between serious arguments…
Published in 2021, 'How Algorithms Create and Prevent Fake News' emerged during a period of unprecedented concern about misinformation's impact on democratic societies and public health. The book's publication coincided with the aftermath of the 2020 US presidential election, widespread COVID-19…
One of the most profound changes in modern information systems has been the shift from traditional editorial gatekeeping to algorithmic curation driven by economic metrics rather than truth or public value. This transformation represents a fundamental change in how society organises and values…
The emergence of artificial intelligence systems capable of generating convincing fake content represents both a new frontier in misinformation and a potential solution to the problems such systems create. This duality (where the same underlying technologies enable both sophisticated deception and…
Recommendation algorithms, designed to maximise user engagement, have inadvertently created powerful amplification systems for sensational and divisive content, fundamentally altering how information spreads through society and how public opinion is formed. Understanding these algorithmic…
Combating algorithmic misinformation has led to the development of sophisticated surveillance and monitoring systems that track content creation, distribution, and consumption at unprecedented scale. These systems, while designed to protect information integrity, also raise profound questions about…
The integration of algorithmic systems into information distribution has fundamentally altered the conditions under which democratic participation occurs, creating new challenges for citizen engagement, political accountability, and collective decision-making in complex societies. Understanding…
The first chapter establishes the foundational crisis underlying contemporary misinformation: the transformation of journalism from a public service into a data-driven enterprise optimised for engagement rather than truth. Giansiracusa traces how the migration from print to digital media created new…
Chapter 2 introduces the revolutionary capability of artificial intelligence to create entirely synthetic news content, from fake journalist profiles to computer-generated articles. This development represents a qualitative shift in misinformation tactics, moving beyond human-authored false content…
Chapter 4 examines YouTube's recommendation algorithm as a critical case study in how algorithmic curation can inadvertently amplify conspiracy theories and fake news. The platform's evolution from a simple video sharing site to a sophisticated recommendation engine reveals the unintended…
Chapter 6 provides an in-depth analysis of Google's efforts to promote authoritative information while combating fake news and harmful content in its search results. As the world's dominant search engine, Google wields enormous influence over what information billions of people encounter, making its…
Chapter 8 explores how artificial intelligence systems are being developed and deployed to identify and limit the spread of false information across social media platforms. This represents a critical application of machine learning technology to defend against the very problems that other…
Chapter 3 delves into the sophisticated world of deepfake technology and its profound implications for visual misinformation. This technology represents a quantum leap in the ability to create convincing false content, moving beyond simple photo editing to generate realistic videos of people saying…
Chapter 5 examines the fascinating intersection of artificial intelligence and deception detection, exploring how machine learning algorithms are being developed to identify lies and misinformation through analysis of human behaviour, physiological responses, and linguistic patterns. This represents…
Chapter 7 provides a detailed analysis of how programmatic advertising systems inadvertently fund misinformation by placing advertisements on fake news websites, creating financial incentives for false content creation. This examination reveals the complex economic relationships that sustain…
Chapter 9 concludes the book by examining the promising applications of artificial intelligence in combating misinformation and promoting information integrity. This final chapter explores how the same technological capabilities that enable sophisticated deception can be harnessed to defend against…
By Noah Giansiracusa
Subject
Themes
In an era where artificial intelligence shapes how we consume and create information, Noah Giansiracusa's comprehensive exploration reveals the dual-edged nature of algorithmic systems in our information ecosystem. As Barack Obama warned in 2016, our ability to distinguish between serious arguments and propaganda has become a fundamental challenge to democratic society, made more complex by the sophisticated algorithms that now mediate our access to news and information.