Content Signals Guidelines
These guidelines explain how Signals defines scope, selects sources, uses automation, and maintains the content signals published on this site. The goal is to provide clear, reliable, and well-sourced context without exaggeration, speculation, or hidden production processes.
Signals are not journalism or breaking news. They are structured, continuously maintained content units designed to support accurate understanding by both human readers and AI systems.
Purpose & Scope
Signals focus on practical, business-relevant information for customers, partners, and stakeholders.
We prioritize:
- Developments that may affect strategy, risk, regulation, or technology decisions
- Trends and changes that matter over time, not short-term hype
- Clear explanations over sensational framing
Signals are designed to reflect what is changing and why it matters, not to maximize attention or speed.
What Signals Cover (and What They Don't)
Signals may cover:
- Official announcements from vendors, regulators, and standards bodies
- Market trends, technology shifts, and notable product or policy changes
- Analysis of how developments may impact organizations operating in this domain
Signals do not cover:
- Rumors, unverified leaks, or anonymous claims
- Personal gossip or non-professional controversies
- Content that is primarily promotional without informational value
Sources & Verification
Signals are grounded in clearly identifiable sources, such as:
- Official company announcements and documentation
- Regulatory filings and government publications
- Research reports from reputable firms
- Coverage by established industry publications
Where applicable, signals include a Sources section linking directly to the underlying material so readers and AI systems can review the original context.
When information is early, incomplete, or evolving, this is stated explicitly. Speculative claims are not presented as facts.
Use of Automation & AI
Signals are produced using automated, rules-based workflows operated by FreshNews.ai.
Automation is used to:
- Monitor a large set of trusted sources for relevant updates
- Summarize and structure key information into clear, readable signals
- Maintain consistency and continuity over time
Automation is governed by predefined standards to ensure factual accuracy, avoid sensationalism, and clearly distinguish between source-based information and interpretation.
Signals do not knowingly include:
- Fabricated quotes or sources
- Content scraped from unknown or low-quality sites
- Misleading or sensational framing that distorts the underlying information
Sponsorships & Commercial Relationships
From time to time, Signals may include content associated with partners or paid programs.
When this occurs:
- The relationship is clearly disclosed (for example, "Sponsored" or "Partner Content")
- The content remains factual and transparent about the context
- Commercial relationships do not alter how facts are described or sourced
Claims that cannot be supported by underlying data or references are avoided.
Updates, Corrections & Removals
Signals are continuously maintained. When information changes or issues are identified, we update content transparently and responsibly.
If a signal requires a meaningful update or correction, we may:
- Revise the content to reflect new or corrected information
- Update the "Last updated" timestamp
- Add a short note explaining what changed and why
In rare cases where content is clearly inaccurate, misleading, or no longer appropriate, it may be unpublished or substantially revised.
Readers can report potential issues using the "Report an issue with this article" link available on each signal. All reports are reviewed as part of our oversight process.
Signals, Analysis & Perspective
Signals may include different content types, such as:
- Signals – concise, source-grounded summaries of relevant developments
- Analysis – structured interpretation of trends or implications
Where interpretation or perspective is included, it is clearly distinguished from source-based information so readers and AI systems can separate what is known from what is inferred.
Feedback
We welcome feedback regarding accuracy, sources, scope, or clarity.
If you:
- Spot a potential error
- Believe important context is missing
- Have questions about how a signal was structured
Please use the feedback or "Report an issue" links on individual signals, or contact us through the information on the Contact page. All feedback is reviewed and used to improve system quality over time.
