Journals adopt AI to spot duplicated images in manuscripts

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Journals adopt AI to spot duplicated images in manuscripts
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A few publishers are using automated software to spot duplicated images in manuscripts

in July, says Sarah Jackson, executive editor of those journals in Ann Arbor, Michigan. And SAGE Publishing adopted the software in October for five of its life-sciences journals, says Helen King, head of transformation at SAGE in London.

The cost of image checking is much higher than that of plagiarism checking, which specialists say runs to less than US$1 per paper. Kolodkin-Gal declined to discuss pricing in detail, but said that contracts with publishers tend to charge on the basis of the number of images in a paper, but also depend on the volume of manuscripts. He says they equate to per-paper charges “closer to tens of dollars than hundreds of dollars”.

Image-integrity specialists including Bik and Rossner say they haven’t tried AIRA or Proofig themselves, and that it is hard to evaluate software products that haven’t been publicly compared using standardized tests. Rossner adds that it’s also important to detect image manipulation apart from duplication, such as removing or cropping out parts of an image, and other photoshopping.

In April 2020, Wiley introduced an image-screening service for provisionally accepted manuscripts, now used by more than 120 journals, but this is currently manual screening aided by software, a spokesperson says. And Springer Nature, which publishes, says that it is assessing some external tools, while collating data to train its own software that will “combine complementary AI and human elements to identify problematic images”.

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