#relevancetheory
Live, measured metrics for the hashtag #relevancetheory from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #relevancetheory
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 · mas.to (Mastodon public tags API) · fetched 2026-07-30 03:11 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-07-30 03:11 UTCNo related tags with measured usage found for #relevancetheory.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-07-30 03:11 UTCEverything below is measured over the latest 2 public posts (spanning ~140 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0.5
Used together with
Top of the latest posts
For anyone interested in Gemma Williams’s talk on #RelevanceTheory and #DoubleEmpathy, it’s now available on YouTube https://youtube.com/watch?v=zUBUrm7KV3Y
As an #ActuallyAutistic linguist, I’m enjoying the AMASE #LinguisticsAndAutistics talk by Gemma Williams looking at the implications of #RelevanceTheory to the #DoubleEmpathy problem
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/relevancetheory