AI article inflation spurs limits on research papers and SEO content

An Australian professor has suggested imposing a maximum number of research articles each scholar can publish per year, arguing that AI tools have accelerated an inflation of scientific papers. The proposal aims to reduce pressure to publish, improve evaluation quality, and curb the inclusion of illegitimate authorship, with journals and funders only accepting submissions that stay within the cap.

Separately, developers using Claude Code have built a six‑step pipeline to automate SEO article production while preventing the low‑quality output that led Google to de‑index up to 80 % of sites publishing mass AI‑generated content. The pipeline includes keyword hunting, content mapping, writing, a deterministic quality‑check stage, formatting, and publishing, with strict rules on word count, structure, and banned phrases to ensure compliance with Google's standards.