#keyness

Live, measured metrics for the hashtag #keyness from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #keyness

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.

$240.06/ year · 7-character #name
Claim #keyness — $240.06/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
17
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 17
0
Avg reactions / post
Mastodon · last 17
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-09-27 21:46 UTC
0
09-21
0
09-22
0
09-23
0
09-24
0
09-25
0
09-26
0
09-27

0 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 2026-09-27 21:46 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-09-27 21:46 UTC

Everything below is measured over the latest 17 public posts (spanning ~28409 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (16) · German (1)

Avg boosts / post: 5.2

Top of the latest posts

  • Macht es nicht wie ich, verpasst nicht unseren Vortrag zu BERTopics und Keyness! Heute in der Session "Automatisierung und KI" ab 9:00 (aber unseren Vortrag erwischt ihr auch noch, wenn ihr um 10 Uhr kommt!) im Hörsaal 5. @cnDuKeli und Juli

    Christof S. 🇪🇺@[email protected]♥ 0↻ 112026-02-27 07:29 UTCView post →
  • New article in #JCLS 4(1)! 🎉 @dudarjulia & @christof introduce a method for evaluating measures of #distinctiveness ( #keyness ) using synthetically generated, fully controlled text data. #CLS #TextAnalysis #Evaluation #NLP #NLG #LiteraryC

    JCLS@[email protected]♥ 0↻ 22025-11-21 15:37 UTCView post →
  • Awesome! Our new paper in #DHQ has been published! It discusses three measures of #keyness (or #distinctiveness) when applied to #subgenres of the #French #novel. The twist is that we perform a #qualitative #evaluation of the measures by re

    Christof S. 🇪🇺@[email protected]♥ 0↻ 102025-11-04 07:01 UTCView post →

What “keyness” means

Wikipedia

In corpus linguistics a key word is a word which occurs in a text more often than we would expect to occur by chance alone. Key words are calculated by carrying out a statistical test which compares the word frequencies in a text against their expected frequencies derived in a much larger corpus, which acts as a reference for general language use. Keyness is then the quality a word or phrase has of being "key" in its context. Combinations of nouns with parts of speech that human readers would no

“Keyword (linguistics)” on Wikipedia (CC BY-SA) →

#keyness across platforms

every network with a public tag surface

Follow #keyness 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/keyness