Webinar: Do-It-Yourself forensic linguistic techniques for authorship identification, ghostwriting and plagiarism detection

Detecting academic misconduct in written assessment can be significantly aided by the application of forensic linguistic analysis. Much of the work in this area is nowadays conducted computationally using proprietary tools and while this has led to useful advances, these tools are not easily accessible and can be too blunt for the nuances of misconduct cases.

This webinar shares open-access tools and simple techniques that can be used by any and all educators to address typical academic misconduct cases such as disputed authorship, ghostwriting, intentional vs non-intentional plagiarism and the use of generative AI. Olu will also present proposals for reducing academic misconduct in written assessment

Olumide Popoola FHEA, is an education developer at the Queen Mary University of London. Olu has a background in forensic linguistics and his research and professional practice are directed to the application of linguistic deception detection techniques in academic and research contexts. In 2021 he led the London and South East Academic Integrity Network (LSEAIN) Contract Cheating Checklist Working Group (see here for the checklist).  Outside of higher education, Olu provides training on linguistic deception detection in the regulatory sector. You can find out more about his work at https://outlliar.blog.