A bilingual Malay-English social media dataset for binary hate speech detection.

ABSTRACT: In recent years, online hate speech has posed a growing threat to user safety, social harmony, and community cohesion especially on social media platforms. However, most existing hate speech datasets are monolingual and resource-rich, which leave Southeast Asia languages such as Malay underrepresented in natural language processing research. The aim of this dataset is to handle this gap by providing a balanced and quality-controlled resource that supports machine learning applications in multilingual settings. Binary classification is selected as a foundation task because it simplifies practical deployment in real-world and early-stage detection systems. It is beneficial in low-resource languages where detailed or multi-label annotations are always unavailable or inconsistent. This dataset

SUBMITTER: Tan JC 

PROVIDER: S-EPMC12557484 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature