#emotionallabour

Live, measured metrics for the hashtag #emotionallabour 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
35
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 35
2.1
Avg reactions / post
Mastodon · last 35
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-09 04:39 UTC
0
10-03
0
10-04
0
10-05
0
10-06
0
10-07
0
10-08
0
10-09

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

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-10-09 04:39 UTC
#emotionallabourmovement
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-09 04:39 UTC

Everything below is measured over the latest 35 public posts (spanning ~76719 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: English (32) · German (2)

Avg boosts / post: 1.8

Top of the latest posts

  • I think I missed #internationalMensDay but I've been thinking a lot lately about male mentorship, not the business kind, but coaching peers and young men on emotional literacy and interpersonal skills. There's been a lot of talk lately abou

    Valerie Roney@[email protected]♥ 43↻ 282025-11-20 23:16 UTCView post →

  • Very happy to be at #TASA2022 this week. Presented some of my work on emotional labour and hair and beauty salons yesterday. You can read the whole paper open access here: https://journals.sagepub.com/doi/10.1177/00113921221129315 #academia

    Hannah McCann@[email protected]♥ 9↻ 32022-12-01 02:21 UTCView post →

  • Manchmal bin ich es so leid nett zu sein. #EmotionalLabour

    Leah@[email protected]♥ 6↻ 42023-03-01 12:29 UTCView post →

#emotionallabour across platforms

every network with a public tag surface

Follow #emotionallabour 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/emotionallabour