#interjections
Live, measured metrics for the hashtag #interjections from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #interjections
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 13:16 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 13:16 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 13:16 UTCEverything below is measured over the latest 6 public posts (spanning ~28005 hours).
Posting hours (UTC)
Languages: English (6)
Avg boosts / post: 2.8
Top of the latest posts
RE: https://live.acarsdrama.com/@acarsdrama/116324884950625879 I, too, am generally holding at uffda. #uffda #oof #FieDa #OJemine (German euphemism for "oh my Jesus) #OMeineJene (Plautdietsch) #yikes #GoodGrief #OyVey #sheesh #interjections
"Chapter 4. Ideophones and Interjections The language is not rich in either" Lord give me the confidence of the average reference grammar that uses the Lingua Descriptive Studies template #linguistics #interjections
What are the most frequent interjections? Out now in Annual Review of Linguistics: Interjections at the Heart of Language. This review critically considers received views of interjections as involuntary grunts and provides a number of alter
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/interjections