#literatureeconomics

Live, measured metrics for the hashtag #literatureeconomics 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
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-15 02:26 UTC
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13
0
11-14
0
11-15

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 2026-11-15 02:26 UTC

No related tags with measured usage found for #literatureeconomics.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-15 02:26 UTC

Everything below is measured over the latest 2 public posts (spanning ~4782 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: German (2)

Avg boosts / post: 3

Top of the latest posts

  • Die Konferenz "Gattungen des Ökonomischen in der Frühen Neuzeit. Kompilation – Diffusion – Zirkulation" wird vom 14. bis 16. November 2024 in Augsburg stattfinden. 📌Weitere Informationen + Programm: https://www.avldigital.de/de/vernetzen/d

    avldigital.de@[email protected]♥ 0↻ 32024-11-04 19:03 UTCView post →

  • The #panel "Seeing and Feeling Financial #Capitalism: Bodies and Finance" will take place at the 2024 #PAMLA (#PAMLAorg) #conference in Palm Springs on November 7-10, 2024. 🗓️Deadline for Abstracts: April 25, 2024 📌Further Information: ht

    avldigital.de@[email protected]♥ 0↻ 32024-04-19 12:50 UTCView post →

#literatureeconomics across platforms

every network with a public tag surface

Follow #literatureeconomics 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/literatureeconomics