#網路社羣

Live, measured metrics for the hashtag #網路社羣 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 #網路社羣

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.

$2,449.80/ year · 4-character #name
Claim #網路社羣 — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
6
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 6
0
Avg reactions / post
Mastodon · last 6
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-24 21:34 UTC
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22
0
08-23
0
08-24

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 2026-08-24 21:34 UTC

No related tags with measured usage found for #網路社羣.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 21:34 UTC

Everything below is measured over the latest 6 public posts (spanning ~11105 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Chinese (Taiwan) (5)

Avg boosts / post: 0

Top of the latest posts

  • 🌗 奧丁（Odin）、維基百科與流量農場的操控術 ➤ 當知識百科成為意識形態的鬥獸場 ✤ https://katamari64.se/posts/2026/odin-wikipedia/ 本文探討了程式語言「奧丁」（Odin）在維基百科遭刪除條目的事件，剖析了創辦人 GingerBill 對抗維基百科管理員「意識形態審查」的觀點。作者深入分析了此事件背後折射出的社羣焦慮：當技術工具演變成宗教信仰，維基百科的刪除政策是否已淪為流量爭奪與權力角逐的競技場？文章透過追蹤事件的時間

    GripNews@[email protected]♥ 0↻ 02026-07-04 00:17 UTCView post →

  • 🌗 AI 垃圾內容正摧毀網路社羣 ➤ 當提示詞成為噪音：重拾網路社羣的實質價值 ✤ https://rmoff.net/2026/05/06/ai-slop-is-killing-online-communities/ 本文探討了當前網路環境中日益嚴重的「AI 垃圾內容」（AI Slop）現象。作者 Robin Moffatt 指出，雖然 AI 是強大的生產力工具，但低門檻的生成技術正導致大量缺乏深度的內容湧入技術社羣、GitHub 與 Reddit。這些「由 AI 產出」

    GripNews@[email protected]♥ 0↻ 02026-05-07 19:21 UTCView post →

  • 🌘 超越頭版：個人駭客新聞閱讀指南 ➤ 探究 Hacker News 如何在海量資訊中維持高品質內容與社羣 ✤ https://hsu.cy/2025/09/how-to-read-hn/ 本文探討了 Hacker News（HN）如何克服「永恆的九月」效應，維持高品質討論內容與龐大用戶羣體的獨特社羣模式。作者從 HN 的簡潔設計、連結聚合器定位，以及 Y Combinator 的背景出發，解析其社羣吸引力。此外，文章深入剖析了 HN 藉由明確的內容準則、演算法驅動的排名機

    GripNews@[email protected]♥ 0↻ 02025-09-22 13:22 UTCView post →

#網路社羣 across platforms

every network with a public tag surface

Follow #網路社羣 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/網路社羣