Correction Policy — F9XR Articles
F9XR Articles is committed to publishing accurate, current, and actionable technical content. When errors are identified — whether by readers, team members, or automated monitoring — a structured correction process ensures they are resolved transparently and promptly.
Types of Corrections
F9XR Articles recognizes three categories of corrections:
Factual Corrections
Errors in stated facts, statistics, benchmarks, or technical claims. Examples include incorrect performance figures, misattributed sources, or inaccurate descriptions of platform behavior.
Code & Technical Corrections
Errors in code examples, configuration snippets, command-line instructions, or technical recommendations. Examples include syntax errors, deprecated API usage, incorrect function signatures, or environment-specific behavior that was not documented.
Outdated Information
Content that was accurate at the time of publication but is no longer current due to platform changes, library updates, algorithm modifications, or industry shifts. Examples include outdated version numbers, deprecated features presented as current, or recommendations based on superseded best practices.
How to Report an Error
Readers, collaborators, and team members can report errors through any of the following channels:
- GitHub Issues — Open an issue at github.com/f9xr/articles with a description of the error, the affected article, and the suggested correction.
- Email — Contact the editorial team at tontufytservices@gmail.com with the subject line “Correction Request” and the details above.
- Comments — Where article comments are enabled, errors can be reported inline with a link to supporting evidence.
When reporting an error, include:
- The specific article and section affected.
- A description of the error.
- Supporting evidence (documentation links, reproduction steps, or authoritative sources).
- The suggested correction (if applicable).
Correction Timeline
F9XR Articles applies the following response commitments:
| Stage | Commitment |
|---|---|
| Acknowledgment | Within 48 hours of receipt |
| Triage | Categorized and prioritized within 3 business days |
| Resolution | Corrected within 7 business days of confirmation |
| Re-review | Verified by a second team member before publication |
Urgent corrections (e.g., security-related errors, broken code examples that could cause data loss) are prioritized and resolved within 24 hours.
How Corrections Are Labeled
When a correction is made to a published article, the following transparency measures are applied:
-
Corrected banner. A visible notice is placed at the top of the article stating that the content has been corrected, the date of correction, and a brief description of what was changed.
-
Changelog. Articles with multiple corrections maintain a changelog at the bottom of the page, listing each correction with its date and description.
-
Version history. The full edit history of each article is maintained in the GitHub repository and is publicly accessible.
Scope of Corrections
This policy covers corrections to content published under the F9XR Articles brand. It does not apply to:
- Third-party content linked from F9XR Articles (though broken links are reported to the original source when possible).
- Comments or community contributions, which are moderated but not subject to the same editorial review process.
- Draft or preview content that has not been formally published.
Proactive Review
Beyond reader-reported errors, F9XR Articles proactively monitors content for accuracy through:
- Quarterly audits of time-sensitive articles (SEO, algorithm changes, API updates).
- Automated link checking to identify broken references.
- Dependency monitoring for code examples that reference external libraries or services.
Details on the content review cadence are documented in the F9XR Editorial Policy.
Related Policies
- Editorial Policy — How content is researched, written, and reviewed.
- Ethics & Fact-Checking Policy — Standards for data integrity and conflict-of-interest management.
- Ownership, Funding, & Transparency — Organizational structure, funding model, and disclosure practices.