JOURNAL OF COMMUNICATION, LANGUAGE AND CULTURE

Detecting Hate Speech in Hindi Digital Discourse Using Transformer–Long Short-Term Memory Models

Evaluating advanced language models for analysing hate speech in Hindi social media content illustrates that language-specific computational tools can be used for both platform governance and communication research, provided that the cultural context is considered.

Culturally Aware Malay–English Code-Mixed Hate Speech Detection: A Systematic Review and Research Taxonomy

This study presents an evidence-informed systematic review and research-readiness taxonomy for culturally aware Malay-English hate speech detection and critically evaluates existing studies based on dataset availability, code-mix authenticity, annotation practice, cultural sensitivity, model architecture, evaluation st...

JOURNAL OF COMMUNICATION, LANGUAGE AND CULTURE

Low-Resource Hate Speech Detection in English-Swahili Code-Switched Text Using Fine-Tuning of Pre-trained Language Models

This study explores a low-resource approach to detecting hate speech in English and Swahili code-switched text by fine-tuning pre-trained language models, and shows that fine-tuning modern language models can offer a practical and scalable solution for hate speech detection in multilingual environments.

Translanguaging and identity construction among Indonesian–English bilinguals on X social media platform: A computer-mediated discourse analysis

Background: The evolution of communication in the digital era has led to increasingly flexible and dynamic language practices in everyday interactions. Social media, serving as a virtual public space, enables bilingual and multilingual users to combine multiple languages within a single utterance, a phenomenon known as...

Artificial Minds, Cultural Shadows: Cultural Alignment, Identity, and Voice Across Multiple Large Language Models

Comparison of five widely used large language models suggests that AI-generated language may shape how culturally situated perspectives are expressed, with differences across models indicating that AI-generated language may shape how culturally situated perspectives are expressed.