Date of Award
Master of Science (MS)
Professional & Technical Communication
Computer generated papers (CGP) pose a serious problem to academic integrity and publishing. The problem began with SCIgen. Created in 2005 by MIT students, SCIgen is a software program that generates papers with simulated content. In 2014, we learned that more than 120 CGP passed through the peer review process, were published in well-known academic journals, and had to be retracted. I conducted research into the journal editing and peer review process to discover more about this problem and how it might be remedied. I conducted interviews with five journal editors from across the world, coded the information, and performed a thematic analysis. My thesis concludes with recommendations to control the CGP problem, including: increased awareness on the part of journal editors, CGP detection software, improving due diligence on the part of reviewers, and addressing the publish or perish paradigm that drives desperate faculty to compromise academic integrity by submitting CGP to journals.
Dunne, Malea, "COMPUTER GENERATED PAPERS AS A NEW CHALLENGE TO PEER REVIEW" (2019). Graduate Theses & Non-Theses. 210.