#chinapol

Live, measured metrics for the hashtag #chinapol 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 #chinapol

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.

$110.68/ year · 8-character #name
Claim #chinapol — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
23
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 23
1.3
Avg reactions / post
Mastodon · last 23
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-06 11:02 UTC
0
09-30
0
10-01
0
10-02
0
10-03
0
10-04
0
10-05
0
10-06

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 2026-10-06 11:02 UTC
#chinapolo
0 uses · 0 accounts / 7d
#ChinaPoliticalSystem
0 uses · 0 accounts / 7d
#Chinapolitik
0 uses · 0 accounts / 7d
#chinapolitics
0 uses · 0 accounts / 7d
#chinapolitica
0 uses · 0 accounts / 7d
#ChinaPolicy
0 uses · 0 accounts / 7d
#chinapolygoup
0 uses · 0 accounts / 7d
#chinapoliticsculturetootme
0 uses · 0 accounts / 7d
#ChinaPolicies
0 uses · 0 accounts / 7d
#chinaPollutes
0 uses · 0 accounts / 7d
#chinapolicestationoutsidechina
0 uses · 0 accounts / 7d
#chinapoltik
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-06 11:02 UTC

Everything below is measured over the latest 23 public posts (spanning ~30796 hours).

Posting hours (UTC) — busiest: 13:00

00:0012:0023:00

Languages: English (23)

Avg boosts / post: 0.9

Top of the latest posts

  • Such an interesting read especially the contrast between Australians’ trust & usage of AI (ChatGPT style, agentic AI) versus people in other countries. Also of interest, how others, in particular the Chinese, have approached regulation & ac

    Su_G@[email protected]♥ 8↻ 32026-09-24 23:36 UTCView post →

  • RE: https://aus.social/@ianmilliss/116718751041570285 Really interesting read - 🙏🏻 for sharing it: inequality’s a given but what can/does a govt do to stop wealthy citizens flaunting their goodies (goodies that others don’t have)? The Chi

    Su_G@[email protected]♥ 4↻ 22026-06-09 08:22 UTCView post →

  • Long read. Excellent read. USA once attracted the world's most brilliant scientists. We may be losing them. #USPol #ChinaPol #Science #Technology #AI https://www.theguardian.com/news/ng-interactive/2025/sep/16/song-chun-zhu-why-one-of-the-w

    7sleepersmusic@7sleepersmusic♥ 4↻ 32025-09-16 20:21 UTCView post →

#chinapol across platforms

every network with a public tag surface

Follow #chinapol 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/chinapol