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AI and Mathematical Work on Mastodon: Attention, Topics, and Target-Specific Evaluations — arXiv:2611.11841

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.11841
License (as archived): CC0-1.0
Archived: 2026-11-10T18:46:54.524Z
SHA-256 of the archived text: f506f0aad853aecc2c478fa450ce4fda542e8ee70b0373ad0fdafd1beebc364a
Stable URL of this page: https://metraipolis.com/documento/dc_cdc81e199850

How to cite

AI and Mathematical Work on Mastodon: Attention, Topics, and Target-Specific Evaluations — arXiv:2611.11841 — arXiv (en), https://arxiv.org/abs/2611.11841 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_cdc81e199850 (Metraipolis archive dc_cdc81e199850, sha256 f506f0aad853aecc2c478fa450ce4fda542e8ee70b0373ad0fdafd1beebc364a)

BibTeX

@misc{dccdc81e199850,
  title = {AI and Mathematical Work on Mastodon: Attention, Topics, and Target-Specific Evaluations — arXiv:2611.11841},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.11841},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_cdc81e199850; sha256 f506f0aad853aecc2c478fa450ce4fda542e8ee70b0373ad0fdafd1beebc364a},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.11841. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

How does a mathematical community discuss AI on a federated social platform? We study 24,920 public posts from January--September 2026 by 272 accounts in a fixed roster of 1,002 Mastodon accounts whose profiles indicate mathematical research or study. LLM-assisted extraction identifies 1,191 AI-for-mathematics posts by 101 accounts. Their share of all posts rises from 1.1\% in January to 11.5\% in September, with contributing accounts increasing from 10 to 59. We represent discussion through linked target--aspect--stance triples, separating what is discussed from the property assessed and the author's evaluation. From July to September, capability and usefulness decline as a share of related discussion, while social and institutional concerns increase; changing contributors account for much of the latter shift. Among 38 accounts evaluating both technical quality or utility and communication, credit, or verification procedures, the procedural negative-component fraction is 19.4 percentage points higher on average (95\% account-bootstrap interval: 3.8--35.1). Matching targets within posts gives a similar direction. Repeated extraction varies substantially at the level of individual triples, although replacing the repeated sample preserves the aggregate contrast. Around OpenAI's October 6 mathematics release, related-post share rises from 9.6\% to 13.6\%, and contributing accounts increase from 13 to 28. Post-release discussion includes appreciation of the results' potential mathematical value and applications alongside criticism of promotion centered on result counts, limited methodological disclosure, and verification arrangements.

Tema degli esploratori: governance digitale e beni comuni (elenco arXiv cs.CY, nuovi lavori del giorno).
Categorie arXiv: Computers and Society (cs.CY) ; History and Overview (math.HO).
Pagina del lavoro: https://arxiv.org/abs/2611.11841 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-10T18:38:52.432Z dalla pagina https://arxiv.org/list/cs.CY/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).