Fact-Checking Policy
Good ideas deserve good evidence.
Omnisly covers subjects where accuracy matters, including artificial intelligence, cybersecurity, privacy, technology, work, human behaviour and society. Our fact-checking approach is designed to reduce factual errors and help readers distinguish evidence from interpretation.
What We Fact-Check
We pay particular attention to claims involving:
- Statistics, percentages and numerical claims
- Scientific and academic research
- Statements attributed to organizations or individuals
- Technical specifications and product capabilities
- Cybersecurity recommendations and security guidance
- Government policies, regulations and standards
- Historical facts and dates
- Health, psychological and behavioural claims
- Claims about the capabilities or limitations of artificial intelligence
Our Source Hierarchy
The appropriate source depends on the claim. When available, we generally prefer:
- Primary sources — original studies, official documents, government publications and direct statements.
- Authoritative organizations — recognized standards bodies, universities, research institutions and established professional organizations.
- Reputable secondary reporting — used for context, reporting and developments where appropriate.
- Expert commentary — considered in context and distinguished from independently established facts.
How We Handle Research
When an article references a study or research finding, we aim to understand what the research actually established before presenting its conclusion.
We take particular care not to turn correlation into causation, preliminary findings into settled conclusions, or a study of a limited population into a universal claim.
When research is limited, disputed or evolving, we aim to communicate that uncertainty clearly.
Technical and Cybersecurity Claims
Technology changes rapidly. For technical claims, we prioritize current official documentation, standards, vendor documentation, security advisories and other authoritative technical sources where appropriate.
Security guidance is treated particularly carefully because inaccurate advice can create real-world risks. Readers should always consider the date of the source and the specific environment to which technical guidance applies.
AI-Assisted Research
AI tools may be used as research or drafting aids within the Omnisly publishing workflow. AI-generated information is not automatically treated as factual evidence.
Where an AI tool suggests a fact, statistic, quotation, source or technical claim, the underlying information should be independently checked before it is presented as fact.
When Evidence Is Uncertain
Not every important question has a definitive answer. When evidence is incomplete or contested, our responsibility is not to manufacture certainty.
Our principle: uncertainty should be communicated rather than hidden. Readers deserve to know when a conclusion is well established, reasonably supported, emerging or speculative.
Reporting an Error
Fact-checking does not end when an article is published. If you believe an Omnisly article contains a factual error, please contact us with:
- The URL of the article
- The specific statement you believe is incorrect
- The reason you believe it is incorrect
- A credible source supporting the correction, where available
We review credible correction requests and make appropriate changes when an error is confirmed.
Last reviewed: September 2026
