At FinQuarry Analytics, all content is produced under strict editorial standards to ensure accuracy, transparency, and reliability for our readers and the wider financial ecosystem. This policy governs how we research, create, and publish content across our site, including research reports, news updates, tools, and guides.
1. Purpose
This policy ensures:
- All content reflects verified data and authoritative sources.
- Readers and search engines recognize FinQuarry Analytics as a trustworthy, research-driven finance publisher.
- Compliance with YMYL guidelines, legal requirements, and ethical standards.
2. Scope
Applies to all content on the site, including:
- Research & data pages
- News & regulatory insights
- Financial literacy and credit/debt guides
- Fintech and AI tool reviews
- Small business finance articles
- Financial independence and thought-leadership posts
- Interactive calculators, datasets, and visualizations
3. Content Standards
- Accuracy: All information must be verified against primary sources such as regulatory agencies, financial institutions, or published corporate filings.
- Originality: Content must be unique; duplication or paraphrasing from other sources is prohibited.
- Clarity & Readability: Use concise, unambiguous language. Define technical terms for clarity without diluting accuracy.
- Entity Alignment: Link key terms to authoritative entities to strengthen semantic signals.
- Neutrality: Avoid bias, endorsements, or unsupported claims. Conflicts of interest must be disclosed.
4. Source Hierarchy
- Tier 1: Government, regulators, and official statistics (e.g., FOMC, SEC, BLS)
- Tier 2: Academic research, institutional reports, and credible corporate studies (e.g., Deloitte, Moody’s)
- Tier 3: Industry publications and trade media (used for context, not primary evidence)
All sources must be cited via inline links, footnotes, or JSON-LD markup where appropriate.
5. Fact-Checking & Verification
- Every claim, statistic, or regulatory reference must be traceable to an authoritative source.
- Numerical data should be presented in HTML tables or downloadable datasets for transparency.
- Conflicting data sources must be reconciled and documented in the methodology.
6. Review & Approval
- All content is reviewed by a lead editor or research manager before publication.
- Review criteria include accuracy, source compliance, entity linking, schema markup, and tone.
- High-impact or sensitive content undergoes additional peer review or expert consultation.
7. Update Cycle
- Research & Data Pages: Reviewed quarterly or as regulations/data change.
- News Pages: Updated within 24–48 hours for significant developments.
- Evergreen Guides: Reviewed annually for accuracy and relevance.
8. Conflict of Interest
- Contributors must disclose affiliations with any financial institutions, tools, or services mentioned.
- Sponsored content is clearly labeled and must meet the same editorial standards.
9. Transparency & Accountability
- The Methodology page documents how we research, analyze, and create content.
- All authors are listed with their real credentials, roles, and affiliations.
- Readers can submit corrections or questions via our Contact page.
10. Schema & Technical Standards
- Structured data applied via JSON-LD: Organization, Person, Dataset, FAQPage, HowTo, FinancialProduct.
- Stable URLs, canonical tags, and fast-loading pages ensure content is machine-readable and AI/LLM friendly.
11. Enforcement
- Content that violates this policy is flagged for immediate correction.
- Pages may be temporarily unpublished if errors are discovered.
- Regular audits are conducted to maintain trust and compliance.
Brand Accountability Statement
All content on FinSight Analytics adheres to this editorial policy. Our lead editor, Jordan Lee, Financial Data Analyst, oversees compliance with these standards, ensuring our site remains a trusted source of financial research and guidance.