Source Strategy

We draw from:

• Verified leaks: Platforms like WikiLeaks and the International Consortium of Investigative Journalists (ICIJ) provide access to confidential documents that reveal hidden operations.​

• Academic research: Peer-reviewed studies offer in-depth analyses and theoretical frameworks that inform our understanding.​

• Public financial records: These documents uncover monetary flows and ownership structures, highlighting economic influences on power dynamics.​

• Archived government and NGO documentation: Historical records and reports provide context and evidence of policy decisions and their impacts.​

• Investigative journalism: We consult both independent and mainstream sources to capture a spectrum of narratives and uncover underreported stories.​

• Local voices and testimonies: Firsthand accounts and historical records ground our investigations in lived experiences and cultural contexts.​

Every major claim is cross-checked across multiple sources. We don’t publish unverified accusations, but we do name names when the data speaks clearly.

AI-Assisted, Human-Led Research

We employ advanced AI tools, including GPT-4.5, to enhance our research capabilities. This involves:​

• Surfacing hidden connections: AI algorithms process extensive datasets to identify links that might be overlooked manually.​

• Extracting structured data: We utilize AI to parse shareholder structures, timelines, and financial trails, facilitating clearer analysis.​

• Drafting content frameworks: AI assists in organizing information and summarizing sources, streamlining our workflow.​

• Fact-checking across narratives: By comparing conflicting media reports, AI helps identify inconsistencies and biases.​

However, AI serves as a tool, not a decision-maker. Every output undergoes rigorous human review to ensure it meets our ethical, emotional, and cultural standards.​

| AI is a flashlight — but only humans can decide where to point it.

Tackling AI Bias

AI is not neutral. Models like GPT-4.5 are trained on vast datasets, predominantly sourced from Western media and institutions, leading to inherent biases:​

• Overrepresentation of state narratives: Official perspectives may overshadow dissenting or marginalized voices.​

• Underrepresentation of the Global South: Perspectives from non-Western regions are often limited or absent.​

• Softened historical crimes: AI may downplay or omit discussions of past injustices.​

• Embedded Western ideologies: Unconscious biases can frame certain viewpoints as default truths.​

At TruthScout, we approach AI with awareness, intention, and resistance.

How We Dismantle Built-In Bias:

• Cross-referencing AI outputs: We validate AI-generated information against non-Western, historical, and leaked data sources.​

• Incorporating diverse perspectives: Our research includes insights from postcolonial scholars, frontline journalists, and community elders.​

• Challenging euphemistic language: We expose and clarify language designed to obscure systemic issues.​

• Triangulating information: AI responses are compared with historical facts and geopolitical contexts to identify and address propaganda.​
  
  

| Truth isn’t found in the middle. It’s found in the collision between narratives — and in the silences that powerful systems maintain.

Deep Research Techniques

Our investigative process involves:

• Multi-Sourcing: Collecting data from a wide array of materials, including leaks, official documents, and firsthand accounts.​

• Mapping: Visualizing relationships and power structures to reveal patterns and connections.​

• Temporal analysis: Examining how narratives and power dynamics evolve over time.​

• Geopolitical context: Situating findings within the broader landscape of international relations and historical events.

A Living, Learning Method

Bias doesn’t disappear. It adapts. That’s why we continually refine our questions, our filters, and our framework — because journalism that seeks to disrupt must always stay aware of what it might unconsciously preserve.

We don’t just utilize AI for answers and content, but to gauge perspective and interrogate ourselves — the same way we interrogate governments, corporations, and history itself.

Editorial Ethics

• Transparency: All sources are clearly cited.​

• Accountability: Errors are promptly corrected and openly acknowledged.​

• Complexity: We embrace nuanced narratives, resisting oversimplification.​

• Honesty: Uncertainty is declared when full clarity is not yet possible.​

We are not neutral. We are honest. Our bias is for peace, justice, and freedom from manipulation.

Accountability

If a reader spots an error, misinterpretation, or misquote, we invite correction. We will verify and, if valid, publicly correct the record.​

Truth is not a destination. It's a practice.