Learned Publishing

Galli, Carlo; Moretti, Chiara; Calciolari, Elena

2024 Learned Publishing

doi: 10.1002/leap.1648

LLM has attained generative capabilities similar to human discourse and can effectively summarize documents and extract information from texts. The development of R.A.G. systems will soon make these systems capable to browse databases such as MEDLINE and extract knowledge, creating summaries of the literature. These summaries may soon reach a point where they are equivalent to current reviews of the literature, possibly making them irrelevant. The availability of automated summaries of the literature may raise the bar of what is still worth publishing. Literature reviews may have to capitalize on human imagination, creativity and abstraction capabilities to survive the A.I. revolution.

Comas‐Forgas, Ruben; Koulouris, Alexandros; Kouis, Dimitris

2024 Learned Publishing

doi: 10.1002/leap.1647

Our study investigates the impact of Artificial Intelligence (AI), specifically generative AI technologies (GAI), on the linguistics of academic article titles. Triggered by suspicious of increased usage of specific verbs in article titles, this research hypothesizes that GAI tools may be influencing the language of scientific communication. To explore this hypothesis, we conducted a comprehensive analysis on the frequency and distribution of 15 selected verbs in research article titles, using data extracted from the SCOPUS database spanning 2015 to 2024. The methodology integrates qualitative observations with a bibliometric approach, examining the presence and trends of these verbs across multiple scientific disciplines. The findings reveal a marked increase in these verbs, pointing towards AI's involvement in title generation. We also explore document characteristics, such as disciplinary backgrounds and publication contexts, to gauge AI's impact on academic writing. Furthermore, the research attempts to quantify the extent of AI‐assisted title generation. Despite several limitations, this investigation paves the way for future studies to broaden the linguistic and database scope. It underscores the need for establishing AI usage standards in academic publishing, contributing valuable insights into the ongoing dialogue about AI's integration into academic writing.