Disinformation and the Erosion of Public Trust

Published: March 2026 | Original Framework: The Trust Corrosion Model

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About the Author

Martin Balome is the Founder and CEO of Caliana, LLC, a Washington State holding company comprising Caliana Press (publishing), Caliana Academy (cybersecurity education), and BalomeTech (technology consulting). He holds multiple cybersecurity certifications including Security+, SSCP, CySA+, CCSP, and PenTest+, and brings professional experience spanning education, technology sales, and air traffic control. His cybersecurity background provides a systems-level perspective on information warfare and the technical infrastructure that enables disinformation at scale.

Author’s Note

I grew up in Uganda consuming state media — the kind that told you the president won by 71 percent and expected you to nod. The disinformation was crude. The government newspaper printed what the government wanted. The radio station broadcast what the government approved. If you wanted the truth, you found it in whispered conversations, in foreign broadcasts caught on shortwave, in the gap between what you were told and what you saw with your own eyes.

I thought I left that world behind when I came to the United States.

I was wrong. The disinformation here is not crude. It is sophisticated, algorithmic, and industrialized. It does not come from a single state broadcaster — it comes from everywhere simultaneously, from bot networks and deepfakes and influence operations that are indistinguishable from authentic human expression. It does not ask you to believe a single narrative. It drowns you in so many competing narratives that you stop believing anything at all.

That is the real weapon. Not the lie. The exhaustion.

As a cybersecurity professional, I recognize the architecture. Disinformation campaigns operate on the same principles as cyberattacks: reconnaissance, exploitation, persistence, and exfiltration. The target is not a network or a database. The target is public trust. And once trust is compromised, every system that depends on it — elections, public health, the judiciary, the free press — begins to fail.

This paper maps that architecture.

— Martin Balome, March 2026

Executive Summary

The United Nations Global Risk Report 2024 listed disinformation among the gravest risks facing states worldwide — a threat many governments feel ill-prepared to address. AI-powered disinformation campaigns have increased between 350 and 500 percent since 2023, with projections of further growth through 2026. Russia, China, and Iran have been identified by the U.S. Government Accountability Office and the Office of the Director of National Intelligence as the principal state actors conducting foreign disinformation operations against democratic societies. Domestically, partisan media ecosystems and social media amplification have created an information environment in which shared factual foundations — the prerequisite for democratic deliberation — are disintegrating.

The consequences are measurable. U.S. citizens’ trust in media has deteriorated steadily since the 1970s. In OECD countries, trust in representative democratic institutions — parliaments, elected officials — has been declining for decades. Satisfaction with democracy across the globe is at historic lows. And the relationship is causal, not merely correlational: research demonstrates that pervasive exposure to disinformation gradually weakens democratic legitimacy over time.

This paper introduces The Trust Corrosion Model — a framework that maps disinformation not as a content problem (individual false claims) but as an infrastructure problem (systematic degradation of the epistemic foundations that democratic governance requires). Drawing on evidence from state-sponsored influence operations, domestic disinformation ecosystems, and the emerging AI-driven threat landscape, the paper identifies four stages of trust corrosion, maps the structural vulnerabilities that disinformation exploits, and proposes a defense architecture built on resilience rather than censorship.

Methodology and Scope

This paper synthesizes findings from the U.S. Government Accountability Office, the Office of the Director of National Intelligence (ODNI 2025 and 2026 Threat Assessments), the V-Dem Institute’s data on freedom of expression, the Council of Europe’s policy guidance on countering disinformation, the Center for European Policy Analysis (CEPA), and academic research on information disorder from Harvard Kennedy School, the University of Bristol, Chapman University, and the Annenberg School for Communication.

The analysis covers both foreign state-sponsored disinformation (Russia, China, Iran) and domestic disinformation ecosystems. The scope includes traditional media manipulation, social media amplification, and the emerging frontier of AI-generated disinformation. The paper does not address classified intelligence operations and relies exclusively on publicly available sources.

Why This Paper Matters Now

Three converging developments make this paper urgent.

First, the AI acceleration. Documented AI disinformation campaigns have increased by 350 to 500 percent since 2023. Generative AI enables the creation of synthetic text, images, audio, and video that are increasingly difficult to distinguish from authentic content. The DNI’s 2026 Annual Threat Assessment warns that AI will likely accelerate threats across the information domain. The detection gap — the distance between offensive capability and defensive capacity — is widening.

Second, the institutional collapse of countermeasures. The U.S. State Department’s Global Engagement Center, which coordinated federal efforts to counter foreign disinformation, closed in December 2024. The GAO has raised questions about whether any clear lead agency remains to coordinate counter-disinformation efforts. At the precise moment when the threat is escalating, the institutional capacity to respond is contracting.

Third, the geopolitical convergence. Russia, China, Iran, and North Korea are no longer operating in isolation. Evidence increasingly points toward formal and informal collaboration in the information domain — shared malware, coordinated influence campaigns, and mutually reinforcing narratives designed to undermine Western democratic institutions. China reported a 60 percent increase in disinformation from its government in a single year. Russia’s Operation Doppelganger demonstrated the capacity to fabricate entire news websites and amplify them through bot networks at industrial scale.

The democratic world is facing an information threat that is faster, more sophisticated, and more coordinated than anything in history. The structural defenses are weaker than they have been in decades. That combination demands analysis.

I. The Trust Corrosion Model

Disinformation is typically discussed as a content problem — individual false claims that can be identified and corrected through fact-checking. This framing fundamentally misunderstands the threat. The goal of modern disinformation is not to make people believe a specific lie. It is to corrode the capacity for shared truth that democratic governance requires.

The Trust Corrosion Model identifies four stages through which disinformation degrades democratic function:

Stage 1: Saturation

The information environment is flooded with competing narratives — some true, some false, some partially true, some deliberately ambiguous. The volume overwhelms the cognitive capacity of individuals and the verification capacity of institutions. The objective is not persuasion but confusion. When citizens cannot distinguish reliable information from unreliable information, they default to pre-existing beliefs, partisan identity, or disengagement.

Russia’s “Firehose of Falsehood” model, documented by RAND Corporation, exemplifies this stage: high-volume, multi-channel, rapid, continuous, and indifferent to consistency. The content does not need to be believed. It needs to exist in sufficient volume to make the truth indistinguishable from the noise.

Stage 2: Polarization

Once the information environment is saturated, disinformation exploits and amplifies existing social divisions. Research demonstrates that partisan bias is a primary driver of disinformation sharing — citizens share false content not because they believe it is true but because it confirms their political identity. Social media algorithms accelerate this dynamic by optimizing for engagement, which disproportionately rewards emotionally provocative content.

The result is epistemic fragmentation — the breakdown of shared factual foundations across political, cultural, and social lines. Citizens who consume different information ecosystems do not merely disagree about policy. They disagree about what is happening. Democratic deliberation requires a minimum level of shared reality. Polarization destroys it.

Stage 3: Institutional Delegitimization

With shared reality fractured, disinformation targets specific institutions — the press, the electoral system, the judiciary, scientific expertise, public health authorities. The pattern is consistent: the institution is framed as biased, corrupt, or captured by hostile interests. The factual output of the institution is recharacterized as propaganda. Alternative information sources — often partisan, unverified, or state-controlled — are positioned as more trustworthy than established institutions.

This stage is particularly dangerous because it is self-reinforcing. As trust in institutions declines, citizens become more susceptible to disinformation. As disinformation increases, trust declines further. The cycle accelerates without external intervention.

Research from OECD countries reveals a telling asymmetry: trust in representative institutions (parliaments, elected officials) has been declining for decades, while trust in implementing institutions (police, bureaucracies) has remained relatively stable. What is being eroded is not trust in the state itself but trust in democratic representation — the specific mechanism through which citizens hold power accountable.

Stage 4: Democratic Paralysis

In the final stage, the cumulative effect of saturation, polarization, and institutional delegitimization produces a society in which collective action on shared challenges becomes impossible. Not because citizens disagree about solutions — democratic societies always disagree about solutions — but because they can no longer agree on what the problems are, what the facts are, or which institutions are qualified to address them.

This is the endpoint disinformation seeks: not the triumph of a particular narrative but the collapse of the capacity for democratic self-governance. A society that cannot agree on shared truths cannot govern itself democratically.

II. The Foreign Threat Landscape

Russia: The Pioneer

Russian disinformation operations are rooted in the Soviet-era “Active Measures” doctrine — subversive campaigns designed to alienate allies and attack social cohesion in adversary nations. Modern Russian information warfare has industrialized this approach.

Operation Doppelganger, executed by the Kremlin-linked Social Design Agency from 2022 to 2024, fabricated legitimate-seeming news websites, populated them with pro-Russian content, and amplified the material through fake social media personas and bot networks. The operation’s significance extended beyond the content itself. Even after Western governments identified and contained the disinformation, the operation remained in the news cycle as media coverage amplified the narrative of Russian penetration of the information space. Russia’s success was found in this secondary amplification — controlling the narrative about the narrative.

Russian cognitive warfare has targeted U.S. presidential elections in 2016, 2020, and 2024, interfered in the 2024 Romanian presidential election, and conducted cyber-based operations across Europe. The RT media network, designated by the U.S. State Department for its connection to Russia’s destabilizing activities, has operated as a global platform for Kremlin-aligned narratives.

China: The Expanding Power

China’s approach to information warfare differs from Russia’s in emphasis but not in objective. While Russia primarily seeks to destabilize — to create chaos and division within democratic societies — China seeks to shape — to promote pro-CCP narratives, discredit democratic governance models, and build international support for Chinese policy positions.

The “Spamouflage” campaign, identified by analytics firm Graphika, used AI-generated content including deepfake videos to spread divisive messaging related to U.S. politics and social issues throughout 2024. Taiwan reported a 60 percent increase in false or biased information disseminated by China in a single year, totaling over 2.16 million instances.

China’s information operations are integrated with its broader geopolitical strategy. Competing narratives around democratic versus authoritarian governance models represent a primary battleground, with 62 percent of documented campaigns in the Asia-Pacific region centering on territorial sovereignty disputes.

Iran: The Opportunist

Iran’s information operations are more narrowly targeted than Russia’s or China’s but share the same structural logic. Iran has been implicated in election interference, the amplification of social divisions within the United States, and the weaponization of narratives following geopolitical events. Iran’s cognitive warfare toolkit combines domestic internet controls with external influence campaigns, using the Islamic Republic of Iran Broadcasting (IRIB) network as both a domestic propaganda instrument and an international disinformation platform.

The Convergence Problem

The most concerning development is the emerging convergence among authoritarian state actors. Russia and China have reaffirmed their comprehensive partnership. Russian-Iranian collaboration has deepened since Russia’s invasion of Ukraine. North Korea has signed mutual defense pacts with Russia. While coordination in the information domain is not always direct, the narratives are mutually reinforcing — each power’s disinformation operations complement and amplify the others.

A Kremlin-linked media ecosystem across Latin America has been documented amplifying Russian, Chinese, and Iranian narratives simultaneously, while also disseminating pro-Hamas content. The convergence creates a disinformation ecosystem greater than the sum of its parts.

III. The Domestic Threat Landscape

Foreign disinformation is dangerous because it exploits vulnerabilities that already exist within democratic societies. The domestic disinformation ecosystem is, in many respects, the more fundamental problem.

The Platform Architecture

Social media platforms are designed to maximize engagement. Engagement is maximized by content that provokes emotional responses — outrage, fear, indignation, tribal identification. This architecture creates structural incentives for the amplification of divisive, misleading, and false content regardless of any external actor’s intentions. The platform itself is the disinformation accelerant.

Research demonstrates that misinformation exposure correlates with lower trust in mainstream media across partisan lines. The relationship is cumulative and indirect — individual false claims may have limited impact, but sustained exposure to an environment saturated with unreliable information produces a generalized skepticism that extends to reliable sources as well.

The Partisan Feedback Loop

In countries where conservative governments were in power during studies, citizens who trusted the government were more willing to spread disinformation. In countries where liberal or centrist governments were in power, the pattern reversed. Disinformation sharing functions as a form of political participation driven by partisan identity — what researchers have termed “dark participation.”

This finding is critical because it reveals that disinformation is not simply a supply-side problem (bad actors producing false content) but a demand-side problem (citizens whose political identity creates incentives to share false content). Any structural defense that addresses only the supply side will fail.

The AI Multiplier

Generative AI has transformed the economics of disinformation production. Content that previously required human writers, graphic designers, and video producers can now be generated at negligible marginal cost. The volume, variety, and velocity of AI-generated disinformation exceed the detection capacity of both automated systems and human moderators.

The DNI’s 2026 threat assessment warns that AI will increasingly shape information operations, with both offensive and defensive actors using these tools. The asymmetry, however, favors offense: generating convincing false content is computationally easier than detecting it.

IV. Structural Defenses: A Resilience Architecture

The dominant approach to countering disinformation — fact-checking, content moderation, and platform regulation — has been necessary but insufficient. These interventions address symptoms rather than causes. A structural defense must target the conditions that make societies vulnerable to disinformation in the first place.

Defense Layer 1: Epistemic Infrastructure

Democratic societies need institutional mechanisms for producing and validating shared knowledge. Independent public broadcasters with constitutionally guaranteed editorial autonomy, adequately funded and legally protected investigative journalism, and independent scientific advisory bodies create an epistemic infrastructure that can withstand information attacks.

Ireland’s National Counter Disinformation Strategy, published in April 2025, provides a model: developed by a multi-stakeholder working group including government departments, independent regulators, civil society, academia, and industry, the strategy treats disinformation as a cross-policy issue rather than a content moderation problem.

Defense Layer 2: Media Literacy at Scale

The power of disinformation lies not in its factual content but in the emotional response it elicits. Structural media literacy education — integrated into school curricula, professional training, and civic education programs — builds individual resilience to manipulation. Research suggests that explaining who benefits from disinformation and what emotional needs it fulfills is more effective than traditional fact-checking.

However, media literacy interventions carry a risk: research has found that they can produce an unintended reduction in trust toward authentic news. When trust in unreliable sources is already low, interventions aimed at fostering more criticality can harm reliable sources through floor effects. Media literacy programs must be designed to build discernment rather than generalized skepticism.

Defense Layer 3: Platform Accountability

Social media platforms must be held accountable for the algorithmic amplification of disinformation. This does not require censorship. It requires transparency about algorithmic recommendation systems, independent auditing of amplification patterns, and liability frameworks that create incentives for platforms to prioritize information integrity over engagement metrics.

The Council of Europe’s 2025 policy guidance proposes ten building blocks for strengthening information resilience, emphasizing that platform accountability is a structural requirement rather than a content-by-content moderation exercise.

Defense Layer 4: Attribution and Deterrence

Foreign state-sponsored disinformation campaigns require attribution — the identification and public exposure of the actors, networks, and infrastructure behind them. Attribution creates accountability and enables deterrence. The U.S. Department of Justice’s 2024 crackdown on Operation Doppelganger demonstrated that attribution can disrupt campaigns and raise the cost of future operations.

However, the closure of the Global Engagement Center in December 2024 has left a gap in the institutional infrastructure for attribution. Any effective defense architecture requires a designated, adequately resourced, and politically independent entity with the mandate to identify, attribute, and expose foreign information operations.

Defense Layer 5: Democratic Legitimacy

The most effective defense against disinformation is a democratic system that delivers for its citizens. Research confirms that satisfaction with democratic performance is directly related to institutional trust. Citizens who believe their institutions are working for them are more resistant to narratives claiming those institutions are corrupt or captured.

This is not a communications strategy. It is a governance strategy. Democracies that fail to address inequality, economic insecurity, housing affordability, and healthcare access create the conditions that disinformation exploits. The best defense against the narrative that the system is broken is a system that is not broken.

Importance to Individuals and the World

Disinformation is not an abstract policy concern. It affects every individual who tries to make an informed decision — about an election, a medical treatment, a financial investment, a child’s education. When the information environment is corrupted, the cost is borne by ordinary citizens who lack the tools, time, or institutional support to distinguish truth from manipulation.

For the world, the disinformation crisis threatens the capacity for collective action on existential challenges. Climate policy, pandemic response, nuclear non-proliferation, and AI governance all require societies that can process factual information, deliberate rationally, and act collectively. A world drowning in disinformation is a world incapable of solving its most urgent problems.

Lessons Learned

1. Disinformation is an infrastructure attack, not a content problem. The goal is not to implant a specific belief but to corrode the capacity for shared truth that democratic governance requires.

2. Trust corrosion is cumulative and self-reinforcing. Individual false claims may have limited impact. The sustained degradation of the information environment produces generalized institutional distrust that is far harder to reverse.

3. Foreign and domestic disinformation are interdependent. State-sponsored campaigns succeed because they exploit vulnerabilities that domestic information ecosystems have already created. Addressing one without the other is insufficient.

4. Platform architecture is a structural vulnerability. Social media algorithms that optimize for engagement create systematic incentives for the amplification of divisive and misleading content. This is a design problem, not a moderation problem.

5. AI has shifted the economics permanently. The cost of producing convincing disinformation has dropped to near zero. Detection capacity has not kept pace. Defensive strategies must assume an environment of infinite synthetic content.

6. Media literacy is necessary but insufficient — and can backfire. Poorly designed interventions can increase generalized skepticism rather than targeted discernment. Programs must build capacity to evaluate information quality, not simply distrust all sources.

7. The most effective defense is democratic performance. Citizens who believe their institutions work for them are more resistant to narratives that those institutions are corrupt. Governance reform is an information security strategy.

Limitations

This paper focuses on disinformation as a threat to democratic governance and does not address its implications for commercial fraud, public health misinformation (beyond its democratic dimensions), or interpersonal deception. The analysis of state-sponsored operations relies on publicly available sources; classified intelligence may reveal additional dimensions. The paper’s policy recommendations assume democratic governance contexts and may not be directly applicable to hybrid or authoritarian regimes.

The Trust Corrosion Model is a descriptive framework, not a predictive one. The four stages do not unfold linearly in all contexts, and the boundaries between stages are permeable. The model is intended to organize analysis, not to generate deterministic forecasts.

Conflict of Interest Disclosure

Martin Balome is the Founder and CEO of Caliana, LLC, which publishes this white paper series. He holds cybersecurity certifications (Security+, SSCP, CySA+, CCSP, PenTest+) and has professional experience in education, technology sales, and air traffic control. He is an immigrant of Ugandan origin living in Washington State. His experience with state-controlled media in Uganda and his cybersecurity expertise inform this paper’s analytical framework. Caliana Press has no financial or political affiliation with any government, party, platform company, or advocacy organization.

Series Connections

• CWPS-001 (The Architecture of Democratic Resilience) establishes the institutional framework within which disinformation operates — the information ecosystem is identified as one of five load-bearing structures of democratic governance.
• CWPS-003 (Election Security in the Digital Age) examines the intersection of disinformation and electoral integrity.
• CWPS-016 (The Digital Surveillance State) explores how surveillance infrastructure can be repurposed for information control.

References

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Legal Disclaimer

This white paper presents analysis based on publicly available reports from international monitoring organizations, government documents, and academic research. All factual claims are attributed to their sources. This publication is intended for educational and informational purposes and does not constitute legal, political, or security advice regarding any jurisdiction. References to specific state actors reflect the published assessments of cited government agencies and research organizations.

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