arXiv: cs.AI preprintsInternational11 November 2026
MISO-BR: An Open Corpus for Misogyny Detection in Brazilian Portuguese
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arXiv:2611.14036v1 Announce Type: cross Abstract: Misogyny is among the most prevalent forms of online hate speech directed at Brazilian users, yet open and auditable resources dedicated to it in Brazilian Portuguese remain scarce. We introduce MISO-BR, an open, documented and versioned corpus of 896 balanced social media texts annotated for binary misogyny, released with its construction protocol and reproducible baselines. The corpus combines lexicon- and target-guided scraping from X with items imported from OLID-BR, a large language model triage stage whose prompt and decoding parameters a
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