Editorial Guidelines

At Estereofonica Tech & News (news.estereofonica.com), we adhere to strict editorial standards to ensure transparency, independence, content integrity, and accountability across all our technical analysis, buyer's guides, and AI research publications.


1. Open Access & Content Reuse Policy

Estereofonica Tech & News embraces the open-access principles established in international digital distribution frameworks (such as the Budapest Open Access Initiative). We guarantee unrestricted, free access to all our published content without economic, paywall, or technical barriers.


Unless otherwise noted, our original articles, tech breakdowns, and analytical reports are published under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. Users are permitted to read, download, copy, distribute, print, and link to the full text of our materials for non-commercial personal or educational use, provided proper attribution is given to news.estereofonica.com as the original publisher.


2. Copyright & Intellectual Property Rights

Authors and technical contributors retain copyright ownership of their written works while granting Estereofonica Network a perpetual, non-exclusive license for initial publication, digital editing, archiving, and global distribution.


Contributors warrant that all submitted materials, images, and datasets do not infringe upon third-party intellectual property or copyright laws. Estereofonica Network assumes no liability for unauthorized third-party claims. Authors are free to enter into separate distribution agreements (e.g., academic repositories or book inclusions) provided news.estereofonica.com is explicitly cited as the primary publication source.


3. No Fee / No-APC Policy

We do not charge Article Processing Charges (APCs), submission fees, or publishing costs to contributing authors, guest analysts, or industry experts. All editorial evaluation, technical formatting, and digital indexation are funded entirely through our parent network and commercial revenue streams, ensuring equitable access to publishing.


4. Anti-Plagiarism & Content Integrity

To maintain complete originality, every draft submitted to Estereofonica Tech & News undergoes automated plagiarism screening and text-matching analysis against global databases.


  • Manuscritps or reports displaying intentional text overlap exceeding 15% (excluding properly cited technical specs or direct quotes) are rejected immediately.
  • Articles undergo internal technical review to verify factual accuracy, source attribution, and product evaluation validity before indexing.

5. Artificial Intelligence (AI) Policy

As a publication specialized in technology and Agentic AI frameworks, we maintain explicit standards regarding synthetic tools:


  • Research & Data Extraction: Generative AI and LLMs may be utilized to outline documentation, clean technical data, or analyze large information sets.
  • Human Editorial Oversight: AI tools are never listed as authors. Every published review, guide, or technical breakdown is authored, fact-checked, and edited by human specialists.
  • Transparency: Fully automated, unattended, or unverified AI-generated content is strictly prohibited on our network.

6. Digital Preservation Policy

To prevent data loss and ensure permanent access to our historical digital archives, content published on news.estereofonica.com is preserved across multiple layers:

  • Internal Redundancy: Continuous Cloud-based encrypted backups.
  • Network Repository: Institutional archiving within the main Estereofonica Network database (active since 2005).
  • Global Indexation: Automated crawling and preservation through international web archives (such as the Wayback Machine / Internet Archive).

7. Code of Ethics, Governance & Funding

All contributors, staff editors, and reviewers are bound by our internal Code of Conduct, emphasizing editorial independence, objectivity, and transparency.


Funding Disclosure: Estereofonica Tech & News is fully owned and funded by Estereofonica Network. Operation costs are supported through contextual digital advertising and referral commissions from commercial affiliate partnerships (including the Amazon Services LLC Associates Program and B2B SaaS partner networks). Commercial partnerships never dictate our editorial scores, product rankings, or technical evaluations.

For questions regarding our editorial guidelines, copyright inquiries, or correction requests, please contact our desk at: [email protected]

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