In one sentence
Siegel argues that the modern campaign against disinformation is itself the central information operation: a loosely evidenced fear of Russian influence helped merge national-security agencies, technology companies, political organizations, journalists, academics, and NGOs into a system that treats domestic dissent as an enemy threat. In his account, the result is not merely biased moderation but an emerging technocratic order that claims authority over citizens’ perceptions.
Overview
Published by Tablet on March 29, 2023, the essay is organized as thirteen “ways of looking” at disinformation, echoing Wallace Stevens’ “Thirteen Ways of Looking at a Blackbird.” Its narrative begins with McCarthyism and Hamilton 68, then traces the post-2014 theory of hybrid warfare through the 2016 election, surveillance capitalism, the War on Terror, domestic extremism, NGO networks, COVID-19, the Hunter Biden laptop controversy, the 2020 election, and AI-driven “prebunking.” The conclusion warns that visible, labor-intensive censorship may give way to quieter algorithmic manipulation of feeds, search results, and attention.
Core ideas
The Hamilton 68 episode is the essay’s founding case
Siegel presents Hamilton 68 as a contemporary replay of McCarthyism: a secret list was treated as evidence of Russian influence even though Twitter internally found that many listed accounts were ordinary Americans. The broader lesson, in his view, is that secrecy and moral urgency can substitute for verification when institutions share a political objective. This is the essay’s interpretation and central evidentiary example, not an uncontested summary of every claim about Russian influence.
“Disinformation” is treated as a political category, not only a factual one
The essay argues that the label increasingly identifies disfavored sources, narratives, or speakers rather than applying consistently to demonstrably false claims. Siegel uses COVID-19 origins, vaccine transmission claims, the 2020 election, and the Hunter Biden laptop story to argue that authorities can disseminate or suppress claims according to institutional interests.
Foreign-war methods migrated into domestic politics
A key mental model is institutional repurposing: surveillance, influence operations, behavioral analysis, and content-monitoring systems developed for counterterrorism and counterinsurgency were redirected toward Americans. Siegel portrays this as replacing political negotiation with “counterinsurgency” against one’s own population.
The state–technology relationship is the real object of scrutiny
Rather than treating social-media moderation as an isolated corporate choice, Siegel emphasizes the dense overlap among intelligence agencies, federal offices, platforms, contractors, researchers, NGOs, and journalists. His concern is that informal coordination can exercise public power without the transparency, legal process, or accountability expected of government censorship.
Data collection reflects a fantasy of total social knowledge
The essay links military data systems, surveillance capitalism, and platform behavioral data. Its warning is that more information does not necessarily produce understanding: institutions may respond to uncertainty by gathering still more data, then mistake algorithmic scale for reliable knowledge or predictive control.
The 2016 election became a legitimating crisis
Siegel argues that blaming Facebook, Russia, and online “fake news” for Trump’s victory created a political and legal atmosphere resembling a wartime exception. In his account, the crisis allowed agencies and political actors to pressure platforms into abandoning neutrality and building a permanent election-integrity and disinformation infrastructure.
The NGO and expert ecosystem makes censorship appear decentralized
The essay describes a “whole-of-society” network in which foundations, academics, consultants, advocacy groups, media organizations, and government agencies reinforce one another. This diffusion can obscure responsibility: no single institution appears to control speech, yet many institutions can jointly define acceptable narratives.
COVID-19 exposed the instability of official certainty
Siegel uses pandemic moderation policies to show how rapidly official positions changed while platforms continued to suppress material deemed contrary to institutional guidance. His argument is not that every censored claim was correct, but that authorities treated provisional judgments as settled truth and punished inquiry into uncertainty.
Practical takeaways
- Separate the factual question from the institutional question: Is a claim false, and who gets to decide that—and by what evidence and procedure?
- Treat secret lists, anonymous sourcing, and “expert consensus” as prompts for verification, not as substitutes for publicly inspectable evidence.
- When evaluating alleged influence operations, distinguish coordination, amplification, foreign sponsorship, and ordinary political agreement; they are not interchangeable.
- Track incentives and institutional relationships. A claim may be shaped not only by ideology but also by funding, jurisdiction, career pathways, platform policy, or pressure from regulators.
- Ask whether an intervention corrects false information or changes the information environment itself through ranking, throttling, demonetization, account penalties, or search manipulation.
- Preserve the ability to revise beliefs. The essay’s strongest warning is that a system unable to admit error will classify its own mistakes as proof that more control is needed.
Caveats and counterpoints
- The essay is openly polemical. It often moves from documented episodes—such as Hamilton 68’s disputed methodology or platform-government coordination—to sweeping claims about “total information control” and an emerging totalitarian system.
- Siegel’s treatment generally emphasizes institutional deception and censorship more than genuine foreign influence, coordinated propaganda, platform harms, or the difficulty of moderating large-scale abuse. Those countervailing problems receive limited analysis.
- Several causal links are asserted rather than demonstrated in detail: for example, that the 2016 Russia narrative was primarily a pretext for domestic control, or that counterterrorism infrastructure straightforwardly became a domestic censorship system.
- The essay sometimes treats different mechanisms—government pressure, voluntary platform policy, NGO research, journalism, and algorithmic ranking—as one unified apparatus. They can overlap, but their authority, evidence, and legal status differ.
- Its strongest use is as a map of one critical interpretation of the disinformation regime, not as a neutral history. Check its major factual claims against primary documents, court records, platform disclosures, and competing investigations.
Questions worth revisiting
- Which parts of the Hamilton 68 story are directly documented, and which broader conclusions depend on Siegel’s interpretation?
- What institutional safeguards could address demonstrably coordinated foreign influence without making government or quasi-government actors arbiters of truth?
- When does platform moderation become state action, and what evidence would establish coercion rather than persuasion or ordinary corporate policy?
- Can algorithmic recommendation systems be made more transparent without creating a new centralized authority over speech?
- How should a democratic society handle claims that are uncertain, rapidly evolving, or potentially dangerous but not clearly false?
- Does defending free expression require tolerating more manipulation and abuse, and if so, what non-censorship responses are available?
Return to this when…
Return to the overview and the sections on Hamilton 68, COVID-19, Hunter Biden’s laptop, and “The End of Censorship” when assessing debates about disinformation, platform moderation, government–tech coordination, or AI-mediated information control. The article is especially useful as a skeptical counter-framework to institutional narratives that present censorship or behavioral influence as purely defensive measures.