Date of Award
Spring 2019
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Professional & Technical Communication
Committee Chair
Pat Munday
First Advisor
Glen Southergill
Second Advisor
Dawn Atkinson
Third Advisor
Charie Faught
Abstract
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.
Recommended Citation
Dunne, Malea, "COMPUTER GENERATED PAPERS AS A NEW CHALLENGE TO PEER REVIEW" (2019). Graduate Theses & Non-Theses. 210.
https://digitalcommons.mtech.edu/grad_rsch/210
Comments
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Technical Communication