Blog · Review Essay · May 2026

The Platform Society and the Public Values Inside the Interface

Jose van Dijck, Thomas Poell, and Martijn de Waal's The Platform Society is one of the cleanest maps of the world that now sits between ordinary life and public institutions. Its subject is not just social media or app stores. It is the deeper migration of news, transport, health, education, labor, and public knowledge into privately governed digital infrastructures. Read in the AI era, the book explains why model platforms are not merely tools. They are becoming the administrative environments through which speech, work, learning, care, and delegation are made actionable.

The Book

The Platform Society: Public Values in a Connective World was published by Oxford University Press in 2018. Oxford Academic lists the online edition as published on October 18, 2018, the print edition as available on November 29, 2018, and the print ISBN as 9780190889760. Utrecht University's research portal records the book as a 2018 Oxford University Press academic book of 240 pages.

The book's central claim is that platforms have moved into the heart of social organization. They do not simply host interactions that would otherwise happen elsewhere. They structure those interactions through accounts, feeds, rankings, reputation systems, payment rails, data extraction, moderation, metrics, personalization, and rules that are usually easier to obey than to inspect.

That makes the book useful for thinking about more than platform companies. It is a book about institutional replacement. When a service promises to make some sector more efficient or more connected, it may also be moving authority out of public institutions and into private infrastructure.

The Platform Mechanisms

The book is especially strong because it names platform power at the level of mechanism. The key mechanisms are datafication, commodification, and selection.

Datafication turns activity into records: location traces, clicks, ratings, searches, transactions, biometric signals, social ties, learning behavior, work histories, and health disclosures. Commodification turns some of those records, relations, and dependencies into revenue streams. Selection determines visibility, ranking, recommendation, exclusion, and priority.

Those mechanisms matter because they show how platforms make reality recursive. A user acts inside a system. The system records the action. The record shapes future ranking, pricing, eligibility, or recommendation. The user adapts to the changed environment. The adaptation becomes new evidence. Over time the platform does not merely observe a social world. It helps produce the world it later claims to measure.

Public Values Under Private Design

The book's most important phrase is "public values." Oxford's abstract identifies privacy, accuracy, safety, security, fairness, accessibility, democratic control, and accountability as values at stake in platformization. That list is not decorative. It is the point of the book.

Platforms are often defended in the language of convenience, innovation, participation, and user choice. The Platform Society asks what happens when those values crowd out others that democratic institutions are supposed to protect. A transport app may increase convenience while weakening labor protections or local planning. An education platform may expand access while creating dependency on proprietary learning analytics. A health platform may make self-tracking easy while turning intimate data into strategic assets. A news platform may distribute journalism widely while making public attention dependent on opaque selection systems.

The conflict is not simply public sector versus private sector. The authors treat markets, governments, and civil society as actors in a contested field. That is more realistic than either platform boosterism or simple anti-corporate complaint. Public values do not defend themselves. They have to be articulated, designed for, regulated, funded, and enforced.

News, Transport, Health, Education

The sector chapters are the reason the book has aged well. Rather than treating platformization as a single social-media problem, the authors follow its movement across news, urban transport, health care and health research, and education.

Each sector has a different public mission. Journalism is tied to public knowledge and democratic accountability. Transport is tied to streets, labor, safety, and urban planning. Health is tied to care, privacy, scientific research, and unequal vulnerability. Education is tied to development, autonomy, curriculum, public funding, and institutional trust. Platformization changes each sector differently, but the pattern repeats: a public function becomes dependent on data-rich intermediaries whose business models and governance structures are not identical with the sector's public purpose.

This is the book's strongest corrective to generic technology talk. A platform mechanism is never just technical. It enters a domain with histories, laws, duties, professional norms, inequalities, and public expectations. The same dashboard logic can mean different things in a newsroom, a classroom, a clinic, or a city street.

The AI-Age Reading

The book was published before generative AI became the dominant interface story, but its analysis now looks like a prehistory of model platforms. AI systems depend on the same infrastructure that platform society built: data capture, cloud concentration, identity layers, ranking systems, content moderation, developer ecosystems, app stores, payment systems, metrics, and institutional dashboards.

Van Dijck's 2024 commentary "Governing platforms and societies" makes that connection explicit. Looking back on the 2018 book, she argues that platformization has affected labor, business management, democratic processes, and institutions, and that generative AI is consolidating the power of firms that own compute, cloud infrastructure, proprietary data, and AI services. The problem is not only that AI companies may make mistakes. It is that they may become the layer through which other institutions must act.

A 2023 Nature Machine Intelligence comment by Fabian Ferrari, van Dijck, and Antal van den Bosch sharpens the issue for foundation models. They argue that training procedures for systems such as GPT-4 need to be accessible to regulators and researchers, and that openness and publicness are not the same thing. That distinction matters. A model can be nominally open while still depending on private infrastructure, private benchmarks, private distribution, private cloud contracts, and private decisions about whose knowledge becomes machine-readable.

The AI-era extension of The Platform Society is straightforward: when cognition is offered as a service, public values have to be built into the service layer. Otherwise the interface becomes a privatized public square, classroom, clinic, library, workplace assistant, search engine, and administrative front desk all at once.

Where the Book Needs Friction

The book's main limitation is that "public values" can sound more stable than they are. Privacy, security, fairness, accessibility, innovation, democratic control, and accountability can conflict with one another. They also mean different things to workers, patients, students, journalists, municipalities, regulators, platform firms, and users. A governance framework has to decide how conflicts are resolved, not merely name the values in tension.

Some reviewers have made a related point. The Romanian Journal of Communication and Public Relations review praises the book's comprehensive treatment of platform-driven social change, while noting its focus on how public values and sectoral activities are shaped by platforms and shared among corporations, governments, and civil society. The useful question is whether that tripartite responsibility is enough when one actor controls the infrastructure on which the others increasingly depend.

The International Journal of Communication review also treats the book as an important intervention in platform studies. The remaining challenge is operational: moving from diagnosis to institutions that can actually inspect, contest, fund, build, and govern alternatives. Public values need procurement rules, audit rights, data-access regimes, labor protections, public-interest technology capacity, appeal systems, and credible exits from dominant platforms.

The Site Reading

The lasting lesson is that an interface can carry a constitution without admitting that it is political. A button can encode a market. A feed can encode editorial power. A recommender can encode a theory of relevance. A reputation score can encode labor discipline. A dashboard can encode managerial priorities. An API can encode sovereignty.

The Platform Society gives a disciplined way to read those encodings. Ask what has been datafied, what has been commodified, what is being selected, which public values are being displaced, and who has the power to change the rules. Then ask the same questions again after AI has been added to the system.

The practical warning is simple. Model platforms will present themselves as assistants, copilots, agents, tutors, doctors' helpers, customer-service representatives, coding partners, research tools, and civic interfaces. The real question is what public functions they absorb, what dependencies they create, what records they keep, what futures they rank, and whether democratic institutions can still govern the world once it has been routed through them.

Sources

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