Automated citation recommendation tools encourage questionable citations

Abstract Citing practices have long been at the heart of scientific reporting, playing both socially and epistemically important functions in science. While such relatively stable over time, recent attempts to develop automated citation recommendation tools potential drastically impact citing practices. We claim that, even though may come with tempting advantages, their development implementation should be conducted caution. Describing role citations science’s current publishing social reward structures, we argue that encourage questionable More specifically, describe how lead an increase in: perfunctory sloppy argumentation; affirmation biases; Matthew effects. In addition, a lack transparency tools’ underlying algorithmic structure renders usage problematic. Hence, urge consequences least understood assessed before any or broad distribution are undertaken.