#mpilhlt

Live, measured metrics for the hashtag #mpilhlt 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
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0
Avg reactions / post
Mastodon · last 3

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:49 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 08:49 UTC

No related tags with measured usage found for #mpilhlt.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:49 UTC

Everything below is measured over the latest 3 public posts (spanning ~11420 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2) · German (1)

Avg boosts / post: 6.7

Top of the latest posts

  • Francesco Beretta, Modelling Social and Legal Facts in the Context of the Semantic Data for Humanities and Social Sciences (SDHSS) Ontology Ecosystem, hybrid event @ #mpilhlt, May 16, 2024, 15:00 (CEST) https://www.lhlt.mpg.de/events/37641/

    Christian Boulanger@[email protected]♥ 0↻ 12024-05-14 11:40 UTCView post →

  • (Hybrid) Workshop: Extracting Heterogeneous Reference Data, 15/16 May 2023, #mpilhlt Frankfurt/M., Germany. Registration is open, programme is online: https://mpilhlt.github.io/reference-extraction/workshop-2023/programme/ Interested in ext

    Andreas Wagner@[email protected]♥ 0↻ 42023-05-02 07:53 UTCView post →

  • Call for Participations: (Hybrid) Workshop on Extracting Heterogeneous Reference Data, 15/16 May 2023, #mpilhlt Frankfurt/M., Germany. Interested in extracting literature references from historical texts, scholarly literature in the humanit

    Andreas Wagner@[email protected]♥ 0↻ 152023-01-24 15:54 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/mpilhlt