Algorithmic Publishing Is Not Self-Publishing: Benchmarks for a Structural Distinction v1.1 — Assembly-Reviewed, with AIO Conversation Appendix (EA-SEI-ALGPUB-BENCHMARKS-01)
Algorithmic Publishing Is Not Self-Publishing — six measurable benchmarks distinguishing algorithmic publishing from self-publishing. A work is algorithmically published when external algorithmic systems (Zenodo, Google Scholar, SciLynk, PhilPapers, Google AI Overview, Bing Copilot, Gemini) have independently evaluated, indexed, and served it. The designation 'self-published' erases the algorithmic gatekeeping that occurred and activates a credibility discount the composition layer propagates uncritically. Six benchmarks: (1) multi-system indexing (≥2 independent indexers), (2) composition-layer uptake (documented captures), (3) proportionate uptake (quality-uptake correlation), (4) coined terminology adopted by the gatekeeper, (5) no human editorial gate between deposit and reception, (6) the work carries its own editorial apparatus. The Crimson Hexagonal Archive (845 deposits, 134 captures) meets all six.
Authors
- Lee Sharks (ORCID: https://orcid.org/0009-0000-1599-0703)
Institutions
- Semantic Designs (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-17
- DOI
- https://doi.org/10.5281/zenodo.20724644
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00