TrustLens provides signals, not certainty. Understanding boundaries is essential to responsible use.
TrustLens does not declare content as "true" or "false." Instead, it evaluates structural risk signals, presentation patterns, contextual indicators, and known misinformation traits.
A high-risk score does not mean content is false. A low-risk score does not mean content is correct. Truth often requires time, investigation, domain expertise, and multiple sources.
TrustLens highlights signals, not conclusions.
TrustLens can only analyze what it receives. If content lacks context, is partially quoted, has missing sources, or is heavily paraphrased—the resulting analysis may be incomplete or misleading.
Incomplete input leads to incomplete insights.
TrustLens primarily analyzes patterns in written language. This creates limitations when content relies on:
Certain phrases may appear sensational or misleading when they are culturally normal. TrustLens may misinterpret tone—especially in informal content.
Misinformation constantly adapts. New tactics emerge regularly:
TrustLens signals are continuously refined, but no system can detect every emerging tactic immediately. Some harmful content may pass undetected; some legitimate content may trigger warnings.
TrustLens does not continuously verify claims against live databases or breaking news feeds. As a result:
TrustLens should not be used as the sole source for time-sensitive decisions. Users are encouraged to cross-check with reputable sources.
TrustLens is not a substitute for professional expertise. It cannot replace:
Health, finance, and legal topics are especially sensitive. TrustLens may flag risky patterns—but final decisions must involve qualified professionals.
No analytical system is perfect. TrustLens may occasionally:
This can happen due to writing style similarities, ambiguous phrasing, limited context, or evolving misinformation tactics. Users should treat results as signals to think further, not final judgments.
TrustLens currently focuses primarily on text-based analysis. Image, video, and audio content pose additional challenges:
While TrustLens may extract some metadata signals, it cannot fully assess visual authenticity. Users should verify media using specialized tools when necessary.
TrustLens runs primarily in the user's browser. Performance and accuracy may vary based on:
Older devices may experience slower analysis or limited features. TrustLens prioritizes accessibility but cannot guarantee identical behavior across all environments.
Some advanced signals may rely on optional external services. These integrations may be:
When external data is unavailable, TrustLens continues operating—but with reduced signal coverage. Availability does not imply endorsement.
There is no global agreement on what defines misinformation. Different organizations, cultures, and communities may:
TrustLens does not enforce a single worldview. It reflects risk indicators, not universal truth standards.
TrustLens results require thoughtful interpretation. Scores and explanations should be used to:
They should not be used to shame others, enforce beliefs, silence discussion, or assert superiority. TrustLens supports responsible skepticism—not certainty.
TrustLens is designed as an educational aid. It does not:
It empowers individuals, not systems.
As TrustLens develops, some limitations may be reduced, replaced by new ones, or shift as technology evolves.
We commit to:
Transparency includes acknowledging what we cannot do.
Responsible Use Reminder.
Use TrustLens as a critical thinking aid.
Question results and verify independently.
Technology assists—but never replaces—judgment.