Editorial Policy

Last Updated: November 2025

Our Commitment to Quality

At Cibarious, we believe that food knowledge deserves the same rigor and care as any other form of scholarship. This editorial policy explains how we create, review, and maintain our content to ensure it meets the highest standards of accuracy, usefulness, and transparency.


Editorial Team & Leadership

Francesco Paolo Maria Di Salvia, Founder & Editor-in-Chief

Cibarious was created and is led by Francesco Paolo Maria Di Salvia, an Italian novelist, screenwriter, and content strategist with a unique background that bridges narrative storytelling and structured data architecture.

Francesco was born in Salerno in 1982 and studied arts and sciences of performing arts at the University of Rome "La Sapienza," writing a dissertation on Dissipatio H.G. by Guido Morselli. He later graduated from the Centro Sperimentale di Cinematografia, Italy's national film school. He worked for many years as a producer, writer, and director in the Italian cinema and TV industry.

As a writer, he debuted at 19 with award-winning short stories, winning the Italian National Olympic Committee's Sports Short Story of the Year Award and the Subway Literature Award, both in 2002.

Francesco represents a unique confluence of skills: a trained storyteller with deep experience in narrative construction, combined with a passion for semantic web technologies and structured knowledge systems. This intersection of content creation and data architecture is what makes Cibarious possible: transforming cold culinary databases into engaging, useful narratives while maintaining the precision and interconnectedness of structured data.

His vision for Cibarious emerged from frustration with shallow, SEO-driven food content and a belief that ingredients deserve to be presented as both precise data points and compelling stories.


Our Content Creation Process

1. Research & Data Collection

Every ingredient entry begins with comprehensive research:

2. AI-Assisted Content Generation

We use advanced language models (including GPT, Claude, Gemini, and Kimi) to synthesize research into coherent narratives. This AI assistance allows us to: Why we use AI: We believe AI is a powerful tool for knowledge synthesis, but only when combined with human expertise and oversight. Our goal is not to replace human judgment but to augment it, allowing us to create more comprehensive and accurate content than either pure automation or purely manual processes could achieve.

3. Human Review & Editorial Curation

Every piece of content undergoes rigorous human review: Our team reviews and approves all content before publication, with particular attention to:

4. Continuous Updates & Corrections

Food knowledge evolves. Ingredient availability changes. New research emerges. We maintain our content through:

Content Standards & Guidelines

What We Include

Factual Information: Practical Guidance:

What We Exclude

Handling Specialized Content

Alcoholic Ingredients: We provide factual, educational information about spirits, wines, and beers as culinary ingredients. Content is presented in an encyclopedic manner without promotion of consumption. Supplements & Functional Foods: Information is strictly educational and does not constitute medical advice. We clearly label such content with appropriate disclaimers. Potentially Allergenic Ingredients: We note common allergens but cannot guarantee completeness. Users with severe allergies should consult medical professionals.

Transparency & Disclosure

AI Usage

We are transparent about our use of AI in content creation:

Content Attribution

Advertising & Sponsored Content


Corrections & User Feedback

We value accuracy and welcome corrections:

How to Report Issues

Our Response Process

  1. All corrections are reviewed within 7 business days
  1. Verified corrections are implemented promptly
  1. Significant changes are noted in content update logs
  1. We acknowledge contributors when appropriate

Quality Control Measures

Before Publication

After Publication


Editorial Independence

Cibarious maintains complete editorial independence:

Data Architecture & Semantic Web

What makes Cibarious unique is our foundation in structured data. Every ingredient exists as both:
  1. Structured JSON: Precise, machine-readable data that powers search, filtering, and connections
  1. Narrative Content: Engaging, human-readable stories that make information accessible and useful
This dual architecture allows us to: Our semantic web approach ensures that Cibarious is more than a collection of articles: it's an interconnected knowledge graph that helps you understand not just individual ingredients, but the relationships between them.

Limitations & Disclaimers

We are honest about what we can and cannot provide:

What We Can Provide

What We Cannot Provide


Contact & Editorial Inquiries

General Editorial Questions: Contact page Corrections & Fact-Checking: Include ingredient name, specific issue, and supporting sources Press & Media: Inquiries about Cibarious's editorial process or methodology Partnership Inquiries: We evaluate partnerships that align with our mission and maintain editorial independence

Commitment to Improvement

This editorial policy is a living document. As Cibarious grows, we will: Our promise: Every ingredient entry in Cibarious represents our genuine effort to provide the most accurate, useful, and engaging food knowledge possible.
Cibarious is committed to accuracy, transparency, and continuous improvement. If you have questions about our editorial process, please don't hesitate to reach out.