The Centre for Information Integrity (CII) is dedicated to understanding and addressing the impact of misinformation, disinformation, and malinformation in today’s complex media environment.

As an innovation hub, the Centre designs practical tools and evidence-based strategies to detect, analyze, and reduce the spread of false or misleading content.

 

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uO-Detect

Misinformation Risk Management Mechanism

In today’s volatile information environment, a single viral post or coordinated disinformation campaign can cause rapid financial and reputational damage.

To address this challenge, CII developed uO-Detect — an AI-supported risk management mechanism that enables trained analysts to detect and assess harmful narratives at an early stage.

Rather than reacting after damage occurs, uO-Detect helps organizations act proactively.

 

How uO-Detect Works

 

1. Building a Verified Knowledge Base

Engagement begins with the creation of a tailored knowledge base built from verified internal data, including:

  • Organizational policies
  • Reports
  • Services
  • Official communications

This establishes a factual baseline against which emerging narratives can be evaluated.

 

2. Monitoring Narrative Development

Trained analysts assess how misinformation spreads online by evaluating:

  • Who is engaging with the narrative
  • Where it is spreading
  • Whether belief and adoption are increasing or declining
  • Whether the narrative represents real risk or background noise

This structured analysis helps organizations distinguish between harmless online buzz and serious reputational threats.

 

 

 

Risk Assessment and Response Support

The platform follows a structured risk management cycle:

 

Image of an individal holding a magnifying glass to a graphic that says less risk on the left side, and more risk on the right side

Step 1 — Identification
Detect harmful or misleading narratives.

Step 2 — Analysis
Examine origins, spread patterns, and audience reception.

Step 3 — Impact Evaluation
Assess potential organizational and stakeholder impacts.

Step 4 — Root Cause Analysis
Identify underlying drivers such as:

  • Misunderstanding
  • Coordinated disinformation campaigns
  • Ideological bias
  • Strategic manipulation

Once these steps are complete, an organization’s crisis management team can develop and deploy an informed, evidence-based response strategy.

uO-Detect does not replace human decision-making — it strengthens it.

 

 

Why It Matters

Without structured insight, organizations are left guessing at the scale and severity of misinformation threats.

 

image of three big yellow exclamation marks on top of a blue background

uO-Detect provides clarity in high-stakes environments by integrating:

  • Advanced data analysis
  • Knowledge modeling
  • Narrative tracking
  • Misinformation detection

into a single, practical process.

In a world where narrative risk is a growing reality, uO-Detect offers organizations the intelligence needed to respond with confidence.

 

 

Stay Ahead of Misinformation Risks

uO-Detect empowers your organization to identify and assess emerging threatsearly—before they take hold.

Be prepared. Act early. Protect your organization.

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