Hoboken, NJ - May 26, 2026 - Wiley (NYSE: WLY), a global leader in authoritative content and research intelligence for the advancement of scientific discovery, innovation and learning, today announced that it has integrated Imagetwin's leading AI-powered image integrity software into Research Exchange, its award-winning research publishing platform. The integration adds sophisticated AI-powered image detection to the 25+ research integrity checks already embedded in Research Exchange, enabling editors and integrity specialists to identify potentially manipulated or fraudulent images before publication.
Trusted by leading academic institutions and publishers worldwide, Imagetwin has screened over 500,000 manuscripts using a database of over 150 million academic images. Its technology detects a comprehensive range of integrity issues, including image duplication, manipulation, plagiarism, and AI-generated content. Imagetwin brings detection and analysis capabilities to Research Exchange that go beyond what human review can reliably identify - increasingly important as AI makes image manipulation easier and more convincing.
This update follows a successful pilot across multiple Wiley journals, in which Imagetwin detected more than 3x as many image integrity issues as human reviewers, flagging manuscripts with concerns that would have otherwise been missed. By surfacing high-risk images for human editorial review, this partnership ensures that potentially problematic manuscripts receive appropriate scrutiny before publication. Imagetwin will be rolled out strategically across Wiley's journal portfolio, prioritizing disciplines where image integrity risks are most acute - including life sciences, biomedical research, and materials science - with a phased expansion to follow.
"Research integrity is a foundational part of Research Exchange, and we are continuously evolving and investing in this technology as the threat landscape evolves," said Sam Parker, Wiley's Director of Integrity Platforms. "AI-generated and manipulated images that are fraudulently passed off as scientific evidence present a serious risk to the credibility of published research. With this integration, we're giving our editorial teams the tools they need to proactively catch these issues before they reach publication."
When a manuscript is submitted to a participating journal, Imagetwin automatically analyzes each image and flags potential concerns directly within the Research Exchange interface. Editors and research integrity specialists within Wiley receive a clear, actionable report at key stages of the peer review journey, allowing them to investigate flagged images before publication, without disrupting existing workflows.
"We're happy to help advance Wiley's commitment to research integrity. Integrating Imagetwin into their submission workflow means journals can now, with greater precision, catch image plagiarism, manipulation, duplication, and AI-generated content before publication, which protects the scientific record at scale, and that's what matters today," said Patrick Starke, Imagetwin Co-Founder & CEO.
The Imagetwin integration is the latest enhancement to Research Exchange, which is used by more than 1,500 journals published by Wiley and its partners, as well as third-party publishers, to manage submissions, peer review, and integrity screening at scale. Wiley's continued investment in Research Exchange reflects its conviction that rigorous publishing infrastructure, including AI-powered technology, and human editorial judgment are both essential to advancing trustworthy science.
