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Journalistic & Technical Standards

Editorial Policy & Content Integrity

At Editoria.in (developed by Luca Digital Solutions, Puducherry), we are committed to delivering authentic, accurate, and creator-first educational content. This document outlines our editorial processes, review standards, and advertising boundaries.

1. Authorship & Human Technical Review

All guides, tutorials, and technical articles published on Editoria.in are authored and reviewed under the supervision of Mr. Vignesh Muralitharan, Founder & CEO of Luca Digital Solutions, alongside our software and audio engineering teams. We do not publish automated, unverified web-scraped content.

2. Technical Accuracy & Fact-Checking

Before any recommendation is published regarding video codecs, timecodes (SMPTE), frame rates, or audio standards (LUFS), our engineering team verifies the findings across real hardware, including mobile WebKit (iOS), Blink (Android/Chrome), and desktop browsers. If any technical parameter changes or is deprecated, our articles are updated within 48 hours.

3. AI Transparency & Speech Technology Ethics

Editoria utilizes artificial intelligence (specifically self-hosted Whisper AI acoustic models) to assist creators with speech recognition and translation. When discussing AI capabilities in our articles, we explicitly disclose model strengths, edge cases (such as background acoustic noise), and potential pronunciation variations in regional languages (Tamil, Tanglish, Hindi).

4. Complete Separation of Advertising & Editorial Content

Editoria.in is monetized through Google AdSense. Advertisers do not influence our technical assessments, article recommendations, or editorial reviews. Commercial ad units are clearly demarcated with “Sponsored” or “Advertisement” labels in strict compliance with Google Publisher Policies.

5. Correction & Reader Feedback Protocol

If you detect a technical inaccuracy, broken link, or outdated instruction in any of our guides, you can contact our editorial desk directly via email at vignesh@editoria.in or through our WhatsApp support desk at +91 90033 59577. Corrections are logged and applied promptly.