From Accuracy to Responsibility: A Systematic Review of Computational Sustainability, Algorithmic Fairness, and Governance in Transformer-Based Text Classification
Background The rapid adoption of Transformer-based architectures such as BERT and RoBERTa has advanced text classification in high-stakes domains, including cyberbullying detection, mental-health screening, and fake-news moderation. However, these advances have increased computational demands and raised concerns regard...