> For the complete documentation index, see [llms.txt](https://docs-araistotle.facticity.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-araistotle.facticity.ai/overview/feedback-moderation-system.md).

# Feedback Moderation System

As community participation has grown, ArAIstotle’s feedback system has evolved to prioritize **signal over noise**.

Moving forward, ArAIstotle now evaluates feedback itself through a dedicated **feedback moderation engine**. Not all feedback is equally useful, and the system now treats it accordingly.

When feedback is submitted, ArAIstotle assesses:

* What is being challenged (facts, context, sources, recency, or framing)
* Whether credible evidence or sources are provided
* Whether the feedback exposes a real flaw or gap in the original verification

Low-effort reactions, repeated opinions, or unsubstantiated claims are deprioritized. Feedback that meaningfully improves a verification or corrects ArAIstotle is treated as **high-value input**.

#### Why Corrections Matter

Corrections are the strongest signal contributors can provide.

When feedback identifies missing context, surfaces better or newer sources, or demonstrates a factual error, it directly helps locate weaknesses in ArAIstotle’s verification pipeline.

#### Closing the Loop

ArAIstotle is evolving from static verdicts to an **interactive verification loop**.

Upcoming updates will allow ArAIstotle to ingest feedback, revise its verification, and publish corrections directly on X. When feedback leads to a correction:

* The update is made public
* The contributor is acknowledged
* The system improves for future checks

Transparency is built into the process.