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Found 5 papers, 2 papers with code
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets
We find that HS datasets for these languages exhibit a strong geo-cultural bias, largely overrepresenting a handful of countries (e. g., US and UK for English) relative to their prominence in both the broader social media population and the general population speaking these languages.
NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data
To address the global issue of hateful content proliferating in online platforms, hate speech detection (HSD) models are typically developed on datasets collected in the United States, thereby failing to generalize to English dialects from the Majority World.
Multilingual Detection of Personal Employment Status on Twitter
Detecting disclosures of individuals' employment status on social media can provide valuable information to match job seekers with suitable vacancies, offer social protection, or measure labor market flows.
Identifying Predictive Causal Factors from News Streams
We propose a new framework to uncover the relationship between news events and real world phenomena.
