Whose Right to Define? Machine-Assisted Framing Analysis of Epistemic Authority in Nigeria's 2025 Genocide Discourse

Digital platforms increasingly shape how contested atrocity claims are received across borders. This study conducts a computational framing analysis of 21,022 English YouTube comments from three foreign (Al Jazeera, Sky News, Fox News) and three Nigerian (Arise TV, Channels TV, TVC News) channels responding to the 2025 ``\textit{Nigerian Christian genocide}'' claim amplified by United States political actors and celebrity attention. An NLP pipeline spanning sentiment, emotion, stance, topic, framing, and embedding analyses was validated with effect sizes and rank-based tests. Contrary to expectation, both audiences overwhelmingly reject the frame and diverge instead in the epistemic grounds and topical territory of that rejection: foreign viewers route the event through United States politics and a Gaza analogy, Nigerians through domestic politics and a sovereignty defence. Reporting a classifier coverage artifact transparently, the study contributes an effect-size-anchored account of cross-cultural reception and a reusable auditing protocol.