Case study
Assisting academics to identify computer generated writing
In short
Telling machine-generated article writing from human writing was hard for academics new to such generators, the authors report from a case study, and a survey suggested that awareness training improved their judgement.
What it looked at
In a case study, academics were asked to separate automatically generated article writing from human writing, and a survey looked at a training session about the generators. The paper also explains how such writing is produced and discusses ways to reduce the integrity risks.
What it means for teaching
Awareness sessions on article generators may help staff judge suspect writing, going by one case study and survey.
Limits
Evidence comes from one case study and a survey of academics, and any gain from training is what the survey indicated.
Cited 82 times by other papers, as counted by OpenAlex in November 2026. A count measures attention, not quality.