Academic journals, archives, and repositories are experiencing a rise in questionable research papers created using generative AI like ChatGPT. These papers mimic scientific writing and cover controversial topics like the environment, health, and computing. Google Scholar easily locates and lists these deceptive papers alongside legitimate research, raising concerns about the manipulation of society’s evidence base. The study found that many papers were produced using undisclosed GPT, with risks including overwhelming the scholarly communication system and undermining trust in scientific knowledge. Recommendations include implementing filtering options on academic search engines to combat the spread of fraudulent papers. The impact of GPT-fabricated content on public trust in science is a major concern.
https://misinforeview.hks.harvard.edu/article/gpt-fabricated-scientific-papers-on-google-scholar-key-features-spread-and-implications-for-preempting-evidence-manipulation/