#linguisticturn

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

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Own #linguisticturn

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-11-14 14:46 UTC
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13
0
11-14

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 2026-11-14 14:46 UTC

No related tags with measured usage found for #linguisticturn.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-14 14:46 UTC

Everything below is measured over the latest 4 public posts (spanning ~31493 hours).

Top of the latest posts

  • >Für Schubert ist das Problem größer als die AfD: „die enorme Normalisierung von bestimmter Sprache“. https://taz.de/Antifas-in-Sachsen-Anhalt/!6200627/ Ja, wenn man sich so dumm äussert, dann gibt es irgendwann halt kein Mitleid mehr. #noA

    zeitrafferin@zeitrafferin@infosec.exchange♥ 0↻ 12026-08-07 14:15 UTCView post →
  • Richard David Precht befasst sich im vierten Band seiner Geschichte der Philosophie mit der Moderne. Das Werk hat seine Vorzüge, liefert aber kaum neue Erkenntnisse. Eine Rezension Richard David Precht widmet sich einer der komplexesten Epo

    Spektrum (inoffiziell)@spektrum@anonsys.net♥ 0↻ 02024-02-13 07:00 UTCView post →
  • Es sind Modelle von Texten, über die sich Menschen die Welt konstruieren. Deshalb nennt man LLMs „Statistical Parrots“, weil sie Sprache nachahmen können, ohne irgendwelche Inhalte zu verstehen. https://blog.koehntopp.info/2024/02/06/wie-ch

    Harald Klinke@HxxxKxxx@det.social♥ 0↻ 02024-02-07 14:09 UTCView post →

#linguisticturn across platforms

every network with a public tag surface

Follow #linguisticturn 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/linguisticturn