The nuances and challenges of moderating a code collaboration platform
Sharing the latest data update to our Transparency Center alongside a new research article on what makes moderating a code collaboration platform unique.
We’ve updated our Transparency Center with data from the first half of 2024 and invite you to explore the data and visualizations and download them for your own research.
In the most recent period, you may notice a significant jump in projects affected by DMCA takedowns, with 1,041 notices processed and 18,472 projects taken down in H1 2024 versus 964 notices and 6,358 projects taken down in H2 2023. This jump can largely be attributed to a single takedown.
Moderating GitHub presents challenges specific to the code collaboration environment, but policymakers, researchers, and other stakeholders are often less familiar with how a platform like GitHub works. That’s one of the reasons our policy team regularly advocates on behalf of the interests of developers, code collaboration, and open source development. Open source software is a public good, underpinning all sectors of the economy and serving as essential digital infrastructure, and moderating the home for open source software requires careful consideration to ensure that essential code remains accessible. Meanwhile, our Trust and Safety team has continually evolved our developer-first approach to content moderation in response to technological and societal developments.
In the interest of broadening understanding of code collaboration, advancing the transparency of our own governance practices, and enriching platform studies research, we are proud to share the recently published article, “Nuances and Challenges of Moderating a Code Collaboration Platform” in the Journal of Online Trust and Safety and co-authored by members of our Trust and Safety, Legal, and Policy teams. The paper is available to all, and we encourage you to read it in its entirety. It covers how moderating a code collaboration platform presents unique considerations illustrated with diverse case studies. We also consider how the new frontiers of AI will present challenges and opportunities for maintaining our developer-first standards at scale.
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