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Detecting Contract Cheating Using Investigative Text Analysis
09/09/2021 @ 3:00 pm – 4:00 pm
The QAA (2020) report prioritised detection over prevention of contract cheating. This workshop fulfils two objectives: building on the work of Crockett and Best (2020), it briefly presents empirical research identifying text-based indicators of commercially outsourced academic writing (‘contract cheating’), and assesses the potential of using investigative text analysis to raise suspicions of contract cheating. Inspired by Dawson and Sutherland-Smith (2019), the workshop will be in 3 sections. Firstly, attendees will be asked to assess six academic essay extracts as either commercial or student written. Second is the presentation of a linguistic model and resources for detection of commercial essays, including a checklist and examples. The model was built applying investigative linguistic techniques used for the detection of ‘fake news’ and deceptive online reviews (e.g. Popoola, 2017a, 2017b). Attendees will then be given a further opportunity to test their ability to detect commercial essay writing.
- Crockett R, and Best, 2020. K. Stylometric Comparison of Professionally Ghost-Written and Student-Written Assignments
- Dawson, P. and Sutherland-Smith, W., 2019. Can training improve marker accuracy at detecting contract cheating?
- Popoola, O., 2017. Using Rhetorical Structure Theory for detection of fake online reviews
- Popoola, O., 2018. Detecting fake amazon book reviews using Rhetorical Structure Theory
Pre-workshop quiz: To complement this Thursday’s LD@3, the speaker Olu Popoola has shared a contract cheating detection quiz on Mentimeter as a way of generating interest: https://www.menti.com/nfgzbe2gon. If you can, please try this out before the session on 9th September at 3pm.
- Presenter: Olumide Popoola, Queen Mary University of London
- Join Zoom Meeting: https://qmul-ac-uk.zoom.us/j/3086991915?pwd=Wk9DT2RGWlRobFBnQTZJSHhqNThDdz09
- Meeting ID: 308 699 1915
- Passcode: HA8mEh