Ouriginal helps thousands of institutions to learn about plagiarism and, more importantly, to avoid it. It can severely damage your institution’s reputation. Plagiarism also happens unintentionally. Ouriginal can support your institution in making plagiarism prevention a seamlessly integrated part of your work routine and submissions!
Our product combines an in-depth text analysis with a detailed, easy to read report and Ouriginal can be easily integrated into your institution’s chosen digital learning tool. We support a lot of different Learning Management Systems (LMS) like Moodle, Canvas, Blackboard and more. Find out more about our integrations here!
The intuitive interface makes tracking and comparing results and navigating through the different tools easy. Ouriginal can be used in several different languages and seamlessly integrated into your existing working and learning environment. Ouriginal’s software can recognize writer patterns to verify authorship and can be used to deter ghost writing/ contract cheating.
Ouriginal is a text analysis software that is used to prevent and detect plagiarism. Ouriginal is easy to use and reliable, combining text-matching with writing-style analysis to promote academic integrity and prevent cheating.
Our text-matching tool delivers an accurate, detailed report that highlights all the matches between the text and the most relevant sources, including the web, licensed content, and internal sources.
Ouriginal’s feauture Ouriginal Metrics takes stylometry to the next level. By using pre-defined quantitative parameters, the text analysis software analyzes different writing styles and patterns which can then be used to verify the authorship of a document and prevent contract cheating or ghost writing. Stylometry helps to detect not only new ways of cheating or academic misconduct such as commissioned work by ghostwriters or so-called ‘essay mills’, but it can also be used to improve the writing skills of students.
Ouriginal can help you detect instances of ghostwriting by verifying the authorship of a document.
This idea was the basis for Ouriginal to start developing a feature that supports everyone in need to evaluate the originality of a document, and verify its authorship. During the research phase of the development process, our R&D team experimentally discovered that the ‘Peer Group Similarity Hypothesis’ can be applied to solve the Authorship Verification Problem.
Ouriginal’s preliminary data introduced works of a professional ghostwriter from an online contract cheating forum into a set of documents written by groups of students in the same classroom, all writing on the same topic.
Using this dataset, we were able to identify the ghostwriter because they scored as a significantly different high outlier for almost all measures currently implemented in Ouriginal’s Metrics.
Curious to see how a report from Ouriginal looks like?
Fill in the form to access a sample report from Ouriginal. The interface is designed to be as intuitive as possible but we all need a guiding hand at times and here you’ll find a visual guide to all the different parts of the report.