Conference Study | Research Integrity
Predatory publication of AI-generated research papers
A study that sent AI-generated manuscripts to a large journal sample and quantified acceptance behavior as a modern predatory-publishing indicator.
Method
Generated papers were submitted to a broad set of suspect journals under controlled conditions.
Acceptance outcomes were analyzed as evidence of editorial vulnerability to synthetic content.
Context
A study that sent AI-generated manuscripts to a large journal sample and quantified acceptance behavior as a modern predatory-publishing indicator.
Predatory publication of AI-generated research papers is published here in a full-article route so readers can inspect framing, metadata, and references together.
Editorial interpretation
Within the Research Integrity section, this piece is used to analyze how evidence claims and publication context influence reader trust.
Route-level discoverability is intentionally preserved so each claim can be traced back to its source record.
Limitations and replication note
This journal shell is a structured publication demonstrator, not a substitute for external primary archives.
For formal citation use, verify details against source publications and archival records.