For Academic Researchers

Accelerate Misinformation Research

Studying the information ecosystem requires efficient tools for claim identification and analysis. FactSentinel provides AI-powered preliminary assessment to help researchers focus on what matters most.

All we have to believe with is our senses, the tools we use to perceive the world. But even our senses are a lie.

- Neil Gaiman, American Gods

In the study of misinformation, we grapple with fundamental questions about knowledge, belief, and perception. FactSentinel is built with epistemic humility - we show confidence levels, acknowledge uncertainty, and make our reasoning transparent. Our tool is a research assistant, not an oracle, designed to accelerate human inquiry rather than replace it.

Supporting Diverse Research Agendas

FactSentinel serves researchers across multiple disciplines studying information integrity.

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Misinformation Studies

Track how false claims spread across platforms. Use Auto-Protection to flag potential misinformation during content analysis, speeding up the identification phase.

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Cognitive Science

Study how people evaluate claims and make truth judgments. Compare human assessments with AI verdicts to understand belief formation and correction.

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Computational Social Science

Integrate FactSentinel's API into larger data pipelines for automated preliminary screening of claims in social media datasets.

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Political Communication

Analyze political discourse and campaign claims. Track narrative evolution and identify systematic patterns in political misinformation.

Data analysis and research visualization

Built for Research Workflows

FactSentinel provides the technical features researchers need for rigorous, reproducible work.

  • Multi-model consensus (OpenAI + Anthropic Claude)
  • Confidence scores for quantitative analysis
  • Full reasoning explanations for qualitative coding
  • BYOK mode for complete query privacy (direct to AI providers)
  • Browser extension for efficient content review
  • Web demo for quick spot-checks
  • Transparent about model limitations and cutoffs
  • API access for computational workflows (coming soon)

Research Domains We Support

FactSentinel is designed for researchers studying information ecosystems across fields.

Misinformation Studies Journalism & Media Political Science Cognitive Psychology Information Science Computer Science Communication Studies Public Health Digital Humanities Science Communication

Research-Grade Privacy

We understand the sensitivity of research data and offer privacy controls that meet institutional requirements.

🔒 BYOK Mode

Use your own API keys (OpenAI or Anthropic). In BYOK mode, requests go directly to AI providers, so we never receive your keys or claim text.

🏛️ Sensitive Research

BYOK keeps claim text off our servers entirely, helping teams handle sensitive research workflows with care.

📋 Transparent Logging

In Platform mode, we log queries for service improvement. In BYOK mode, we keep minimal usage counts; claim text never reaches our servers. Full documentation available.

🛡️ No Third-Party Sharing

We never sell or share user data with third parties. Your research queries remain yours.

Advance Your Research

Join researchers using FactSentinel to accelerate misinformation studies. We welcome feedback from the academic community on how we can better serve your work.