#genderfair

Live, measured metrics for the hashtag #genderfair 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 #genderfair

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.

$23.52/ year · 10-character #name
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
15
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 15
0
Avg reactions / post
Mastodon · last 15

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 15:31 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 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 2026-07-28 15:31 UTC
#genderfairLang
0 uses · 0 accounts / 7d
#genderfairmt
0 uses · 0 accounts / 7d
#genderfairer
0 uses · 0 accounts / 7d
#genderfairlanguage
0 uses · 0 accounts / 7d
#genderfairness
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 15:31 UTC

Everything below is measured over the latest 15 public posts (spanning ~20578 hours).

Posting hours (UTC) — busiest: 07:00

00:0012:0023:00

Languages: English (7) · German (6) · French (1) · Swedish (1)

Avg boosts / post: 2.1

Top of the latest posts

  • I am currently conducting my very first #metaanalysis (on the psycholinguistic effect of #genderfair writing). First pleasant surprise: on the 14 studies selected to be included in the meta-analysis, we were able to obtain the raw data for

    Léo Varnet@[email protected]♥ 0↻ 32025-09-16 18:04 UTCView post →

  • Mit mischen ist gemeint: Ein Text mit ganz oft _innen / *innen kann unhandlich werden. Deshalb z.B. einmal am Anfang damit entgendern und danach Neutralisierungen. #genderfair

    GreenSkyOverMe (Monika)@[email protected]♥ 0↻ 02024-03-15 14:00 UTCView post →

  • Wenn vorhanden, sind Neutralisierungen oft gut: Fachkraft, Lehrkraft, Reinigungskraft, Pflegekraft. Publikum, Team, Gäste. Warum nur oft? Alle Varianten, selbst das binnen-I und die Beidnennung, dienen zur Sichtbarmachung von Frauen. Die ex

    GreenSkyOverMe (Monika)@[email protected]♥ 0↻ 02024-03-15 13:58 UTCView post →

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/genderfair