Book Review: AI, Algorithms, and Misinformation — Who Writes the Minority Report of Our Politics?

Executive summary

• The book: Jeffrey Layne Blevins, AI, Algorithms, and Misinformation: Law, Politics, and Our Digital Futures (Routledge, 2026). Published in October, 182 pages, and available in open access.
• The thesis: AI and algorithmic systems used to predict economic, political and cultural behavior also produce a collective perception of reality. That perception reflects the interests behind the systems, and it can be false because of data errors, misinformation and bias.
• The method: critical political economy combined with cultural legal studies, rather than computational measurement.
• The verdict: a useful framework for leaders who need to understand why misinformation persists, with less to offer on measurement and campaign practice.

Why this book, this week

The United States votes tomorrow. Over the past weeks, this column has looked at the correction gap in the final days of a campaign and at a field experiment showing that engagement ranking distorts what people believe others think. Both pieces dealt with mechanisms. Blevins asks a prior question: who builds the systems that decide what citizens perceive as real, and in whose interest?

The author is a journalism professor at the University of Cincinnati who also teaches political science and has commented widely on election and medical misinformation. The book was published by Routledge with open-access funding, which means anyone can read it without a paywall. For a subject that is often discussed behind expensive journals, that alone is worth noting.

The central idea: a minority report for everyone

Blevins borrows his organizing metaphor from Philip K. Dick's 1956 short story "The Minority Report," in which a police unit arrests people for crimes predicted but not yet committed. The parallel is deliberate. Platforms and AI systems now predict what we will click, buy, share and vote, and act on those predictions before we do.

The book's argument goes one step further. The content generated and ranked on social media does not just reflect public opinion; it builds a shared perception of reality. Because that perception is produced by systems designed around commercial, political and cultural interests, it can be inaccurate even when no one is lying deliberately. Data errors, biased models and misinformation all feed the same picture.

For political communication, this is the key contribution. It moves the debate from individual false claims to the conditions that make false perceptions profitable.

Structure and approach

The book is organized in six chapters:

1. Data, information, reality and social media networks.
2. Information integrity and reality on social media.
3. Algorithmic exploitation, political polarization and epistemic alienation, framed as the political economy of post-truth.
4. Regulation and public policy for AI, algorithms, disinformation and misinformation.
5. Truth, falsity, the First Amendment and AI.
6. Changing the "marketplace of post-truth" and our digital futures.

The sequence moves from diagnosis to remedy. The first half explains how information flows are produced; the second half asks what law and public policy can do about them, and where the First Amendment limits those options in the United States.

Theoretical frame

Blevins works within the critical political economy of communication, the tradition associated with scholars such as Vincent Mosco, which studies how ownership, markets and power shape what media produce. Applied to platforms, the approach treats attention and behavioral data as commodities and asks how their sale shapes public discourse.

This places the book close to Shoshana Zuboff's account of surveillance capitalism, in which behavioral predictions are the core product. It also complements empirical work such as Vosoughi, Roy and Aral (2018), who found that false news spread farther and faster than true news on Twitter. Where that study measured the pattern, Blevins focuses on the economic logic that rewards it.

Strengths

• A structural lens. The book explains why misinformation is persistent, not accidental. That is more useful for strategy than another catalogue of viral falsehoods.
• Law and policy together. Few communication books treat regulation and the First Amendment with the same attention as media effects. Readers outside the United States will find the constitutional analysis specific to that country, but the questions apply everywhere.
• Accessible length and open access. At under 200 pages, it can be read by an executive team in a week.

Limitations

• Limited empirical testing. The approach is interpretive. Readers looking for experimental evidence or computational analysis of algorithmic effects will need to pair it with studies like those discussed earlier in this column.
• A U.S.-centered legal frame. The regulatory chapters center on American law. Latin American and European readers will need to translate the analysis into their own legal systems.
• Little operational guidance. The book is aimed at students and scholars. Campaigns and communication teams will have to draw their own practical conclusions.

Applications for campaigns and leaders

1. Audit the perception, not just the message. Ask what reality your audience's feeds are building around your organization, regardless of what you publish.
2. Treat platform incentives as part of the risk map. If outrage and error are rewarded, your crisis plan must assume they will be amplified.
3. Prepare for regulatory change. The policy debate the book describes will shape what campaigns can do with data and AI in the next cycle.
4. Invest in information integrity before it is needed. Verified sources, transparent procedures and trusted messengers are the only durable counterweight to a distorted shared reality.

Closing note

Dick's story turned on a single dissenting prediction that the system preferred to ignore. Blevins's book is a reminder that, in digital politics, the most important question is often who writes the forecast and who profits from it. It is worth reading this week, while the answer is being tested at the ballot box.

References

Blevins, J. L. (2026). AI, algorithms, and misinformation: Law, politics, and our digital futures. Routledge. https://doi.org/10.4324/9781003618898

Dick, P. K. (1956, January). The minority report. Fantastic Universe.

Mosco, V. (2009). The political economy of communication (2nd ed.). SAGE.

Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/science.aap9559

Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.