| Abstrakt: |
A recent study conducted by researchers at Amrita Vishwa Vidyapeetham in Kerala, India, has shed light on the deceptive practices of predatory journals. The study analyzed three datasets of calls for papers from potential predatory journals and legitimate journals using text mining and programming language. The researchers found that most potential predatory journals use similar language and templates in their calls for papers, often using flattering and positive words that are rarely seen in emails from legitimate journals. Based on these findings, the researchers developed a toolkit for detecting unsolicited calls for papers from potential predatory journals. This research provides valuable insights and tools for distinguishing between predatory and legitimate journals, ultimately helping researchers deal with predatory journals more effectively. [Extracted from the article] |
