
This repository contains the dataset, code, and other materials used in the study "404: Civility Not Found? Evaluating the Effectiveness of Small Language Models in Detecting Incivility in GitHub Conversations" accepted to the research track of the 39th Brazilian Symposium on Software Engineering (SBES). The downloadable .zip archive includes all necessary files to replicate the results presented in the paper. After unzipping, you will find instructions, scripts, and data organized to support the execution and reproduction of the analyses described in the paper.
small language models, incivility, moderation, open-source projects, GitHub conversations
small language models, incivility, moderation, open-source projects, GitHub conversations
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
