Syracuse University News: Acuna and Team Create Tool to Detect Academic Fraud in Research Papers

Syracuse University News: Acuna and Team Create Tool to Detect Academic Fraud in Research Papers. “For academic journal editors and research integrity officers at post-secondary institutions, detecting the re-use of images and illustrations in academic papers can be a time-consuming, if not impossible, task. While resources for detecting similarities and plagiarism in text submissions have been in use for several years, up until now there has been no technological solution that could be applied to finding duplicate images across research literature. That may soon change, thanks to work done by School of Information Studies (iSchool) Assistant Professor Daniel Acuna.”

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