3 items
Crowd sourced slop labels for YouTube All reviews are made by a human (mostly yours truly). The label database is updated daily, and contained ~32,000 labelled channels at release time (1.2.7 - Aug 2026). You can contribute to the labelling by marking channels as "Slop", "AI Music", "Authentic", etc. using the context menu or hotkeys, and your labels are uploaded to the server. I consider them as "suggested label" when I personally review the channels, but the final review result is my own - it's a human "algorithm", not prone to trivial manipulation. There is no "automated" or "AI detection" here. Channels recommended to you and not previously known are automatically sampled for human review. While 32000 reviewed channels may not sound like a lot, these are most channels that are actively being recommended to the extension's user base. This targeted approach means only relevant channels are being labelled, out of the hundreds of millions in existence. Selected determinations have detailed reasons posted on the extension's community page; your feedback is encouraged. This is especially useful where it's not obvious why a channel is marked "Slop". To clean your feed of slop, you use the "Don't Recommend Channel" option on channels labelled as "Slop" or "AI Music" as you see fit. Note that "Slop" includes human-made slop as well as AI-made slop. Patreon members can access priority reviews and my personal attention to deslop your recommendation feeds much faster. Enjoy.
Aug 8, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.