Academic and research integrity refer to the ethical standards and practices that underpin honesty and transparency in scholarship and scientific investigation. It encompasses a broad range of principles, including honesty in reporting and analyzing research data fairness in competing or collaborating with colleagues accountability in fulfilling one’s duties, and respect …
Research integrity
Paperpal recently released a generative-AI-powered “Write” feature, which offers text predictions for your existing content. It also enables custom predictions and AI suggestions tailored to your desired output. This makes the feature ideal not only for times you’re in need of inspiration to build upon your work, but also when …
The editorial desk, responsible for evaluating scholarly work, has long served as the gold standard for ensuring research integrity. In this process, editors meticulously evaluate submitted manuscripts, assessing their methodology, data analysis, conclusions, and overall contribution to the field of knowledge. However, the ever-evolving scientific landscape, coupled with the rise …
The scientific community faces a formidable threat: the proliferation of “fake science.” Fueled by advancements in generative AI, fabricated research undermines scholarly publishing’s credibility and obstructs genuine scientific progress. The ease of creating convincing fake data and studies makes it increasingly challenging to discern legitimate research from fraudulent information. This …
In an evolving academic publishing landscape, and with increasing number of submissions, journal editorial desks are weighed down by increasing demands. From heavy workloads to mounting costs, paper mills, and AI evasion, there are many hurdles to overcome. The increasing use of AI, while offering promising solutions for authors, has …