Feature suggestion: Content quality levels/curated tab

AI-generated summary

The discussion proposes adding Content Quality Levels (LQC) to Discourse, building on existing trust levels. Daniel_M suggests a system where users who consistently post quality content can advance along an X-axis, complementing the Y-axis trust levels. This would allow the platform to recognize and reward high-quality contributions, with LQC potentially influencing features like content visibility or moderation. The idea is to enhance community trust and content curation. lisajill supports the suggestion, expressing enthusiasm for the feature.

This expands on this post from two years ago.

So here is what I propose:
In addition to trust levels, discourse can support Content Quality Levels.

(Note: I did not make this graph, it was copied from the linked post)

Trust levels are already implemented, on the Y-axis.
People who consistently post quality content can ascend on the X-axis.

What would this do?
A new tab can be added (“Featured” or “Curated”) which can be calculated by likes, date (more recent is better; maybe along a curve like y=sqrt(-(x-5)) or something similar), and manual influence by curators.

CQLs can be calculated by maybe (# of likes * avg. CQL of likers).
This can be accompanied by a badge (quality contributor, curator, quality curator) and increased flag priority/like limit.

This would be especially powerful when combined with something like this.

Additionally, a high CQL can be a factor in automatic promotion to TL4.

6 Likes

Oh… yes please. Pretty please. :slight_smile: