The Changing Meaning of a "Fast Check"
Not long ago, when an editor was asked to take a quick look at a manuscript before sending it for assessment, the task was straightforward. Did the submission fit the journal's scope? Were the files complete? Could suitable reviewers be identified?
Today, that same request carries an entirely different weight. Editors must now ask: Is the corresponding author's email legitimate? Do the stated affiliations align with previous publications? Does the similarity report reveal plagiarism or merely routine methodological overlap? Are the figures authentic? Has the use of generative AI been properly disclosed? Are the suggested reviewers genuine researchers, or fabricated identities? Does the manuscript bear the fingerprints of a paper mill, or display patterns of citation manipulation?
Only after these questions have been carefully considered does the manuscript begin its scientific evaluation.
This transition has been so gradual that many in the field barely notice it. Yet editorial work has expanded far beyond assessing the quality of research itself. Increasingly, journals are expected to verify the reliability of the processes that produce it. This evolution is both understandable and necessary. Sophisticated misconduct, the rapid adoption of artificial intelligence, and rising expectations around transparency have fundamentally reshaped the landscape of scholarly publishing. Stronger safeguards are essential to protect the integrity of the scholarly record.
What receives far less attention, however, is what those safeguards demand from the people responsible for applying them.
The Accumulation Effect: When New Tasks Add Instead of Replace
One of the defining characteristics of editorial work is that responsibilities rarely disappear. When new integrity measures are introduced, they do not replace existing tasks; they are added alongside them. Editors still recruit reviewers, assess revisions, communicate with authors, make publication decisions, and work to improve the quality and visibility of their journals. At the same time, they are now expected to investigate image concerns, evaluate AI disclosures, verify reviewer identities, respond to integrity allegations, document increasingly complex decisions, and navigate policies that scarcely existed a decade ago.
The profession has not been reinvented overnight, but it has expanded steadily, almost imperceptibly, through accumulation.
Perhaps because this change has occurred incrementally, it has received surprisingly little discussion. Conversations about research integrity often focus on what journals should do, and rightly so. Publishers, editors, and organizations have invested significant effort in establishing standards that improve transparency and strengthen trust in the published literature.
What is discussed less frequently is the capacity required to meet those expectations consistently. Editorial offices have not simply adopted new technologies; they have absorbed entirely new categories of work without necessarily gaining additional time, staff, or specialist expertise.
This is particularly evident in smaller journals, where a handful of editors or editorial staff may manage hundreds of submissions while balancing editorial responsibilities with academic or clinical careers. Larger publishers increasingly support dedicated research integrity teams, image specialists, and investigative units, but many society journals and independent publications continue to rely on relatively small editorial offices expected to uphold the same standards.
The expectation of integrity is universal, but the capacity to deliver it is far from uniform.
Technology Identifies, Humans Decide
Technology has undoubtedly transformed the way journals identify potential concerns. Similarity detection software, image analysis tools, citation monitoring, and AI-assisted screening have become indispensable components of modern editorial workflows. Their contribution, however, is often misunderstood. These technologies rarely provide answers; they identify questions that require human judgment.
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Software identifies similarity. People decide whether it represents plagiarism or legitimate overlap.
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Software flags an image. People determine whether the anomaly reflects manipulation, an honest error, or an entirely innocent explanation.
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Software detects unusual citation patterns. People investigate context, intent, and evidence.
Every alert begins another editorial process. Every report requires interpretation. Every interpretation generates correspondence with authors, reviewers, institutions, or publishers. Every exchange requires documentation because today's decisions may become tomorrow's investigations.
Technology has unquestionably improved publishing's ability to identify potential problems, but it has not reduced the need for editorial expertise. If anything, it has made that expertise more valuable because the difficult decisions begin where automated detection ends.
The Invisible Cost: Editorial Capacity as the Currency of Trust
Scholarly publishing has become remarkably good at measuring performance. Journals routinely monitor submission volumes, turnaround times, reviewer engagement, citation performance, corrections, retractions, and an expanding range of research integrity indicators. These metrics provide valuable insights into the health of editorial processes, yet one resource remains surprisingly absent from the conversation: editorial capacity.
Individual integrity investigation competes with another editorial responsibility. Time devoted to resolving an authorship dispute is time that cannot be spent improving reviewer engagement or supporting authors. Hours invested in evaluating image reports are hours unavailable for commissioning content, mentoring new editors, or developing journal strategy.
Trade-offs appear not to be in annual reports or dashboard metrics, but they determine the day-to -day reality of editorial offices across scholarly publishing. The unseen burden of trust is therefore not simply evaluated in software licenses or novel technologies. It is quantified in editorial attention—the finite resource upon which every safeguard ultimately depends.
Beyond Policies: Investing in the People Who Protect Trust
Looking at the past decades, significant progress can said to has been made in strengthening research integrity for scholarly publishing . Better technologies, rules, and methods for spotting issues before they are included in the written record have all been developed by the community. That advancement merits acknowledgment and ongoing funding.
However, the discussion of integrity may now need to go beyond the next screening tool or policy update and take into account the individuals who are supposed to make those systems function.
Integrity in research is and will always be a moral obligation. But it's also becoming more and more operational. Every policy's efficacy ultimately rests on editors and editorial staff that thoroughly study issues, fairly evaluate the evidence, professionally convey difficult conclusions, and use judgment where no software can.
Journals will require more than just improved technology and stricter regulations as expectations rise. To apply them consistently and responsibly, they will require adequate editorial capability.