Sophie Cohen

dblp:299/8751 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2022
—ORCID · none

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Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021
YearPublicationVenuePosition
2022 "Did You Miss My Comment or What?" Understanding Toxicity in Open Source Discussions
abstract
Online toxicity is ubiquitous across the internet and its negative impact on the people and that online communities that it effects has been well documented. However, toxicity manifests differently on various platforms and toxicity in open source communities, while frequently discussed, is not well understood. We take a first stride at understanding the characteristics of open source toxicity to better inform future work on designing effective intervention and detection methods. To this end, we curate a sample of 100 toxic GitHub issue discussions combining multiple search and sampling strategies. We then qualitatively analyze the sample to gain an understanding of the characteristics of open-source toxicity. We find that the pervasive forms of toxicity in open source differ from those observed on other platforms like Reddit or Wikipedia. In our sample, some of the most prevalent forms of toxicity are entitled, demanding, and arrogant comments from project users as well as insults arising from technical disagreements. In addition, not all toxicity was written by people external to the projects; project members were also common authors of toxicity. We also discuss the implications of our findings. Among others we hope that our findings will be useful for future detection work.
Courtney Miller, Sophie Cohen, Daniel Klug, Bogdan Vasilescu, Christian Kästner
ICSE2
2021 Contextualizing toxicity in open source: a qualitative study
abstract
In this paper, we study toxic online interactions in issue discussions of open-source communities. Our goal is to qualitatively understand how toxicity impacts an open-source community like GitHub. We are driven by users complaining about toxicity, which leads to burnout and disengagement from the site. We collect a substantial sample of toxic interactions and qualitatively analyze their characteristics to ground future discussions and intervention design.
Sophie Cohen
ESEC/SIGSOFT FSE1