#polarization

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

hashtag.org network · sponsored

Own #polarization

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$5.00/ year · 12-character #name
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-14 00:45 UTC
0
10-08
0
10-09
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14

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

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-10-14 00:45 UTC
#polarizationinsights
1 uses · 1 accounts / 7d
#polarizationpolitics
0 uses · 0 accounts / 7d
#polarizationinthechurch
0 uses · 0 accounts / 7d
#polarizationgradients
0 uses · 0 accounts / 7d
#polarizationtrends
0 uses · 0 accounts / 7d
#POLARIZATIONS
0 uses · 0 accounts / 7d
#SocioPolarization
0 uses · 0 accounts / 7d
#polarizationfilter
0 uses · 0 accounts / 7d
#polarizationisnecessary
0 uses · 0 accounts / 7d
#polarizationlab
0 uses · 0 accounts / 7d
#polarization2024
0 uses · 0 accounts / 7d
#polarizationonline
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-14 00:45 UTC

Everything below is measured over the latest 40 public posts (spanning ~3818 hours).

Posting hours (UTC) — busiest: 13:00

00:0012:0023:00

Languages: English (36) · Dutch (3) · German (1)

Avg boosts / post: 0.5

Top of the latest posts

  • "Most of the participants liked and reposted content on X and got served more of the same sort of content. Replying was rare, just 6.8% of the interactions according to the study, but had an outsized impact on the algorithm. “Replying is on

    Miguel Afonso Caetano 🦾 🌹@[email protected]♥ 1↻ 52026-08-18 23:03 UTCView post →

  • A great set of articles on #trust and #collaboration in #Science, from #Nature: "Trust in science. How to build and maintain public support in an era of #polarization" https://www.nature.com/immersive/d42859-026-00025-w/index.html

    Jesus Castagnetto 🇵🇪@[email protected]♥ 1↻ 02026-07-04 18:57 UTCView post →

  • Let’s Measure Concentration and Dispersion in Ordinal Data ! We test how different measures to capture #agreement, #consensus, #concentration, #clustering, #polarization, etc. in #ordinal #data compare (think: #Likert scales, content analys

    Didier Ruedin@[email protected]♥ 0↻ 02026-09-25 17:19 UTCView post →

What “polarization” means

Wiktionary

polarization/ˌpoʊlərɪˈzeɪʃən/

  • nounThe production or the condition of polarity
Full entry on Wiktionary →

#polarization across platforms

every network with a public tag surface

Follow #polarization 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/polarization