#genderfairlanguage

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0
Avg reactions / post
Mastodon · last 5

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 12:49 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 12:49 UTC

No related tags with measured usage found for #genderfairlanguage.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 12:49 UTC

Everything below is measured over the latest 5 public posts (spanning ~3456 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4) · French (1)

Avg boosts / post: 3.4

Top of the latest posts

  • Our latest article on #GenderFairLanguage has been published in Frontiers in #Psychology! You can read it #OpenAccess here: https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1256779/full As one of the coauthors, I’d like to share some

    Léo Varnet@[email protected]002024-02-20 07:37 UTCView post →
  • Using #language to counter bias favoring masculine-specific representations: • gender-unmarked forms (neutralization strategy, e.g., “l'enfant”) are not fully effective in neutralizing the masculine bias. • contracted double forms (re-femin

    Estelle Platini@[email protected]062024-01-05 11:46 UTCView post →
  • Our latest article on #GenderFairLanguage has been published in Frontiers in #Psychology! You can read it #OpenAccess here: https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1256779/full?&utm_source=Email_to_authors_&utm_medium=Email&

    Léo Varnet@[email protected]052023-10-28 07:16 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/genderfairlanguage