Across digital spaces, harmful narratives and weaponised language fuel division, incitement, and violence. This fellowship empowers data scientists to confront these challenges by mapping slurs, slogans, and hate speech patterns, while building structured lexicons aligned with global human rights standards.
Selected fellows will work on tracking online hate campaigns, analysing dehumanisation narratives, and developing NLP tools that generate indicators like polarization scores and disinformation vulnerability indices. The focus spans municipal elections, xenophobia, LGBTQ+ communities, and gender‑based hate, ensuring outputs directly support human rights monitoring and advocacy.
Applicants must bring strong expertise in Python, machine learning, and low‑resource South African languages, alongside experience with social media data collection and transformer models. Fellows will receive a competitive stipend, technical mentorship, and access to collaborative networks with human rights organisations.
💡 Support available — three‑month funded fellowship with stipend, mentorship, and global collaboration opportunities.
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