Quantifying Affective Bias in Low-Resource Media: Large-Scale Emotion Profiling of Bengali Headlines

arXiv:2510.17252 · cs.CL, cs.AI · Submitted 2025-10-20 · Read on arXiv

cs.CL, cs.AI

Submitted: 2025-10-20

Updated: 2026-08-28

Comments: 5 figures, 5 tables, Accepted at 2026 International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII)

Journal ref: 2026 International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII)

DOI: 10.1109/PECCII70991.2026.11662024

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Affective Polarization Index — 3× in this paper
• Accountability — 2× in this paper · explained in 2 episodes
• Affective Computing — 2× in this paper · explained in 1 episode
• Trace — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Frustration — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Emotion analysis and detection during COVID-19
• DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
• pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
• DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations
• InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models
• Gemma: Open Models Based on Gemini Research and Technology

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