High Article Processing Charges and the Expansion of Predatory Publishing in the Generative AI Era: Implications for Research Integrity and Global Scholarly Inclusion

Abstract The transition to open access publishing was intended to democratize knowledge, yet the dominance of article processing charge models has created new financial stratifications that disproportionately affect researchers in low- and middle-income countries. Concurrently, generative artificial intelligence has lowered barriers to manuscript production while amplifying editorial overload and predatory publishing vulnerabilities. This critical review examines the interconnected dynamics among article processing charge inflation, generative artificial intelligence-driven publication pressures, predatory publishing expansion, and global scholarly inequality, with alignment to Sustainable Development Goals 4, 9, 10, 16, and 17. The review is based on a purposive selection of interdisciplinary literature in scholarly communication, higher education, information science, research ethics, and science policy. Literature was selected through reference snowballing and thematic relevance to the five research objectives rather than systematic database searching. Findings indicate that global spending on article processing charges has escalated significantly, with average charges for high-impact journals exceeding several thousand United States dollars, creating conditions that increase susceptibility to predatory journals. The rise of generative artificial intelligence further complicates scholarly communication through accelerated manuscript production, paper mills, and concerns regarding epistemic reliability. Predatory publishing should be understood not merely as a problem of unethical journals but as a structural consequence of inequitable academic publishing systems intensified by artificial intelligence-era publication pressures. Policy reforms centered on diamond open access models, ethical artificial intelligence governance, research integrity education, and strengthened international collaboration are proposed.

Authors

Publication Details

Journal
Research Square
Published
2026-10-30
DOI
https://doi.org/10.21203/rs.3.rs-11540134/v1
Primary Topic
Academic Publishing and Open Access
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

High Article Processing Charges and the Expansion of Predatory Publishing in the Generative AI Era: Implications for Research Integrity and Global Scholarly Inclusion

A. O. Alli
4 links
Research Square
Academic Publishing and Open Access
preprint

High Article Processing Charges and the Expansion of Predatory Publishing in the Generative AI Era: Implications for Research Integrity and Global Scholarly Inclusion

A. O. Alli
preprint en

Abstract

Abstract The transition to open access publishing was intended to democratize knowledge, yet the dominance of article processing charge models has created new financial stratifications that disproportionately affect researchers in low- and middle-income countries. Concurrently, generative artificial intelligence has lowered barriers to manuscript production while amplifying editorial overload and predatory publishing vulnerabilities. This critical review examines the interconnected dynamics among article processing charge inflation, generative artificial intelligence-driven publication pressures, predatory publishing expansion, and global scholarly inequality, with alignment to Sustainable Development Goals 4, 9, 10, 16, and 17. The review is based on a purposive selection of interdisciplinary literature in scholarly communication, higher education, information science, research ethics, and science policy. Literature was selected through reference snowballing and thematic relevance to the five research objectives rather than systematic database searching. Findings indicate that global spending on article processing charges has escalated significantly, with average charges for high-impact journals exceeding several thousand United States dollars, creating conditions that increase susceptibility to predatory journals. The rise of generative artificial intelligence further complicates scholarly communication through accelerated manuscript production, paper mills, and concerns regarding epistemic reliability. Predatory publishing should be understood not merely as a problem of unethical journals but as a structural consequence of inequitable academic publishing systems intensified by artificial intelligence-era publication pressures. Policy reforms centered on diamond open access models, ethical artificial intelligence governance, research integrity education, and strengthened international collaboration are proposed.

Research Square
Reduced inequalities
Academic Publishing and Open Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon