#ccls25
Live, measured metrics for the hashtag #ccls25 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ccls25
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Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-07-27 05:20 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-07-27 05:20 UTCNo related tags with measured usage found for #ccls25.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-07-27 05:20 UTCEverything below is measured over the latest 23 public posts (spanning ~10074 hours).
Posting hours (UTC) — busiest: 19:00
Languages: English (22) · German (1)
Avg boosts / post: 2.6
Top of the latest posts
As always: #OpenData persistently available at: Du, K. (2025). Reconstructing Shuffled Text (Derived Text Formats) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17198425 #CLS #CCLS25 #DTF #LiteraryComputing #LLM #Memorization
The authors tackle a major challenge in #NLP: #LLM-Memorization and #Copyright 👉 Can derived text formats (DTFs) be used safely for research on #in-copyright texts without enabling reconstruction of the original? #CLS #NLG #DTF #LiteraryCo
New article in #JCLS 4(1)! 🎉 Du, Ackerschewski, Navruz, Sınır, Valline & @christof : “Reconstructing Shuffled Text. Bad Results for #NLP, but Good News for Using #In-Copyright Texts” https://doi.org/10.48694/jcls.4163 #CLS #DTF #LiteraryCo
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/ccls25