clips/gsoc2019_crosslang

This project is a tool for detecting hate speech, with a particular focus on sexism, in Russian-language text. It was built as part of Google Summer of Code 2019, a program that pairs students with open-source organizations. The goal is to help identify harmful or sexist language automatically, which could be useful for content moderation or research. Beyond building the detection model itself, the project also includes detailed annotation guidelines. These are instructions for humans on how to read a piece of text and consistently label whether it contains sexism. Those human-labeled examples are what train the automated system to recognize patterns on its own. Someone who would use this might be a researcher studying online harassment in Russian-speaking communities, or a team building moderation tools for a social platform with Russian users. For example, a nonprofit tracking gender-based abuse online could use the approach to sift through large volumes of posts and flag potentially sexist content for review. The README is sparse on technical details, pointing instead to an external site for the full description of the code and methodology. It's also worth noting that the repository is archived and no longer maintained, meaning it won't receive updates or fixes. Anyone considering using it would be adopting it as-is, without ongoing support.