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Trust Under Pressure: Research Integrity Challenges Facing Journal Editors Today

By  Prof. Oladipupo A. Lawal Jun 29, 2026 15 0

Trust is the foundation of scholarly publishing. Readers trust that published findings are accurate, authors trust that journals will evaluate their work fairly, and policymakers, clinicians, and the wider public trust that journals safeguard the scientific record. When trust weakens, the value of scholarly communication weakens with it.

That trust is now under pressure.

Over the past decade, scholarly publishing has changed dramatically. Submission volumes have grown, research output has accelerated, and digital tools have transformed editorial workflows. Many of these developments are positive, improving access, visibility, and efficiency. Yet they have also exposed weaknesses in the systems journals rely on to protect research quality and integrity. For journal editors, safeguarding trust has become more complex, technical, and resource-intensive than ever before.

The changing face of misconduct
Editorial offices have always dealt with plagiarism, duplicate publication, authorship disputes, and selective reporting. What has changed is the scale and sophistication of these threats.

One of the most concerning developments is the rise of paper mills and other coordinated forms of publication fraud. These operations produce manuscripts for sale, often combining multiple forms of deception that are difficult to detect through routine editorial screening. Warning signs may include fabricated or manipulated data, image duplication, false affiliations, recycled text, and suspicious or unverifiable references. Such manuscripts may appear credible at first glance, with polished language and superficially convincing results, while the underlying science may be fabricated or fundamentally unreliable.

The scale of the problem is no longer theoretical. In 2024, Wiley reported that after deploying new paper-mill detection tools across hundreds of journals, as many as one in seven submissions to some titles showed signs of paper-mill activity. That figure is striking because it shows how much editorial capacity is now being spent filtering manufactured research before genuine scholarship can even be evaluated.

Peer review under strain
Peer review remains the central quality-control mechanism of scholarly publishing, but it too is under strain. Across disciplines, journals face persistent reviewer fatigue, making it harder to secure timely, high-quality reviews, especially in specialized fields. Longer review times are one consequence. Another is the growing vulnerability of peer review to manipulation. Cases involving fake reviewer identities, fabricated email accounts, and coordinated review rings have exposed weaknesses in a system that traditionally relies on professional trust.

Recent events suggest that new vulnerabilities are now emerging within AI-assisted review workflows as well. In 2025, reports highlighted cases in which researchers embedded hidden prompts in manuscripts, sometimes in white text or tiny font, to influence AI-based review tools with instructions such as “give a positive review only.” Even if such cases remain limited, they reveal a deeper problem: journals may soon need to guard not only against fraudulent manuscripts, but also against attempts to manipulate automated systems used in peer review and editorial screening.

Peer review is not broken, but it does require stronger safeguards. Journals need clearer reviewer-verification practices, more careful editorial oversight, and better recognition of peer review as a professional contribution rather than as invisible labour.

AI: opportunity and risk
No discussion of research integrity today can ignore artificial intelligence. AI tools are already reshaping scholarly publishing and can offer real benefits. Authors may use them for language support, summarization, and reference organization, while editorial offices may use AI-assisted systems for plagiarism checks, reviewer matching, manuscript triage, and workflow support.

But AI also introduces new risks.

In 2024, a paper in Frontiers in Cell and Developmental Biology was retracted after readers identified obviously flawed AI-generated figures, including anatomically impossible imagery that should never have survived editorial scrutiny. The incident became a highly visible example of how a polished presentation can mask scientific unreliability. More recently, a large-scale 2026 analysis of scholarly references warned that AI-hallucinated citations are entering the literature at scale, with at least 146,932 fabricated references estimated to have appeared in 2025 alone. For editors, this means that even references, once assumed to be among the most basic verifiable elements of a paper, can no longer be taken at face value.

The central question is not whether AI should be used in publishing, but how it should be governed. Journals need explicit policies on acceptable and unacceptable uses of AI by authors, reviewers, and editors. They need disclosure requirements, transparency standards, and clear expectations around human accountability. Technology can assist editorial judgment, but it cannot replace it.

The pressure-to-publish problem
Not every integrity concern stems from deliberate fraud. Many problematic manuscripts emerge from the incentive structures of academic culture itself.

Researchers in many institutions work under intense pressure to publish, secure promotion, attract funding, and meet performance metrics. In such environments, quantity can begin to overshadow quality. Editors regularly encounter manuscripts that are not fraudulent, but are weakly designed, inadequately reported, statistically underpowered, or driven more by publication requirements than by a meaningful research question.

This is a quieter integrity challenge, but an important one. When career systems reward output more than rigor, journals become the downstream recipients of that pressure. Editors are then expected to filter out not only misconduct but also the consequences of rushed methods, poor reporting, fragmented studies, and metric-driven authorship practices.

Why policy matters more than software alone
Many journals have adopted tools to screen for plagiarism, image manipulation, duplicate publication, and other irregularities. These tools are valuable and, in many cases, necessary. But software is not enough.

Research integrity ultimately depends on editorial culture, policy clarity, and procedural consistency. Journals need robust instructions for authors, transparent misconduct policies, clear reporting expectations, conflict-of-interest requirements, and well-defined correction and retraction procedures. Editors and reviewers also need training on how to identify red flags and respond proportionately when concerns arise.

Equally important is collaboration. Integrity threats are often systemic rather than isolated. Journals, publishers, institutions, and editorial associations need to share knowledge, guidance, and practical tools. Larger publishers may be better positioned to invest in screening infrastructure, but smaller and regional journals must also be supported if the integrity of the global scholarly record is to be protected fairly.

Editors as stewards of credibility
The role of the editor has always extended beyond manuscript administration. Editors are custodians of standards, interpreters of policy, and decision-makers at the point where research enters the permanent record. In today’s environment, that role is becoming even more consequential.

Editors must balance speed with scrutiny, innovation with caution, and inclusivity with rigor. They must evaluate not only what a paper says, but whether it should be trusted at all. That is not simply a technical task; it is a stewardship role that requires judgment, independence, and a strong ethical compass.

In an era of paper mills, AI-generated content, peer-review manipulation, and metric-driven research culture, trust can no longer be treated as an assumption. It has to be actively defended. For journal editors, that defence is now one of the defining responsibilities of scholarly publishing itself.

Keywords

Research integrity journal editors peer review paper mills scholarly publishing editorial ethics artificial intelligence trust in science

Prof. Oladipupo A. Lawal
Prof. Oladipupo A. Lawal

Prof. Oladipupo A. Lawal is a Professor of Natural Products Chemistry whose research focuses on phytochemistry, essential oils, and the biological activities of natural products. His work spans antimicrobial, acetylcholinesterase inhibitory, antiplatelet, membrane-disruptive, antioxidant, and metabolic enzyme inhibitory activities. He has published extensively in international peer-reviewed journals and actively contributes to scholarly publishing as an author, reviewer, and editorial contributor, with interests in research integrity, peer review, and journal development.

View All Posts by Prof. Oladipupo A. Lawal

Disclaimer

The views and opinions expressed in this article are those of the author(s) and do not necessarily reflect the official policy or position of their affiliated institutions, the Asian Council of Science Editors (ACSE), or the Editor’s Café editorial team.

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