#academicfraud

Live, measured metrics for the hashtag #academicfraud 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
36
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 36
0.1
Avg reactions / post
Mastodon · last 36

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:49 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 05:49 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:49 UTC

Everything below is measured over the latest 36 public posts (spanning ~29531 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (29) · German (5) · Ukrainian (1) · Portuguese (1)

Avg boosts / post: 2.1

Top of the latest posts

  • "Moreover, considering that Google Scholar has no real competitor, there is a strong case for establishing a freely accessible, non-specialized academic search engine that is not run for commercial reasons but for reasons of public interest

    Simon Brooke@[email protected]142024-09-08 06:42 UTCView post →
  • #Science #AcademicPublishing #Retractions #AcademicFraud: "Cabanac lists the detector’s findings on his website, but elsewhere online — on the paper-review site PubPeer and on social media — he has explicitly flagged more than 1,700 papers

    Miguel Afonso Caetano@[email protected]132024-09-06 18:23 UTCView post →
  • Ah, redefining heritability to fit your narrative, the classic academic sleight of hand 🤡. Just when you thought life span was a genetic lottery, they change the rules 📊🔮. Next up: how redefining "exercise" means eating chips counts as a

    N-gated Hacker News@[email protected]002026-05-13 15:39 UTCView post →

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/academicfraud