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. Because of this, corrections earn more credits than passive approval or low-effort responses.

This aligns incentives around improving truth — not simply engaging with outputs.

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.

What’s Coming Next

• Direct feedback ingestion on X, allowing contributions without leaving the platform

• Public acknowledgment and proportional rewards for high-impact contributions

• A continuously improving verifier where every useful feedback cycle feeds back into training, source ranking, and future verifications