#RecommendationAlgorithms
Live, measured metrics for the hashtag #RecommendationAlgorithms from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #recommendationalgorithms
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-06 16:18 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-11-06 16:18 UTCNo related tags with measured usage found for #recommendationalgorithms.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-06 16:18 UTCEverything below is measured over the latest 36 public posts (spanning ~34599 hours).
Posting hours (UTC) — busiest: 03:00
Languages: English (35) · Portuguese (1)
Avg boosts / post: 1.2
Top of the latest posts
Stepping Back From Social Media To Read a Book I’m taking a break. After spending like two years in the worst parts of the Internet modeling the memetic spread of conspiracy-driven behavioral patterns and developing social media software as
"The latest X algorithm doesn’t share the weightings used, but we know the old ones. A “like”, for example, is worth a mere 0.5 points. A reply: 13.5. But if your reply sparks the author to reply back? That’s an argument: worth 75 points. T
Astroturfing Is Pretty Pointless When Social Subgraphs Are Fragmented (e.g., the Fediverse) I am seeing astroturfing in the fediverse again, by AT Protocol developers implicitly trying to shill their products. I think it is stochastic behav
#recommendationalgorithms across platforms
every network with a public tag surfaceFollow #recommendationalgorithms straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/recommendationalgorithms