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Transformer models tackle multilingual polarization detection with class weighting

By PulseAugur Editorial · [3 sources] ·

This paper details a submission to SemEval-2026 Task 9, focusing on multilingual polarization detection across English and Swahili. The researchers employed transformer-based models, specifically RoBERTa-base and AfroXLMR-base, incorporating class-weighted loss functions and threshold tuning to manage imbalanced datasets. Their approach achieved competitive F1 macro scores on binary polarization detection, polarization type classification, and manifestation identification, though error analysis indicated challenges with detecting dehumanization and lack of empathy. AI

IMPACT This research contributes to the development of models capable of understanding and classifying online polarization across different languages and cultural contexts.

RANK_REASON The cluster contains an academic paper detailing a submission to a specific task within a research competition.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Transformer models tackle multilingual polarization detection with class weighting

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COVERAGE [3]

  1. arXiv cs.CL TIER_1 English(EN) · Usman Naseem, Robert Geislinger, Juan Ren, Sarah Kohail, Rudy Garrido Veliz, P Sam Sahil, Yiran Zhang, Marco Antonio Stranisci, Idris Abdulmumin, \"Ozge Ala\c{c}am, Cengiz Acart\"urk, Aisha Jabr, Saba Anwar, Abinew Ali Ayele, Elena Tutubalina, Aung Kyaw … ·

    SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization

    arXiv:2604.06817v2 Announce Type: replace Abstract: We present SemEval-2026 Task 9, a shared task on online polarization detection, covering 22 languages and comprising over 110K annotated instances. Each data instance is multi-labeled with the presence of polarization, polarizat…

  2. arXiv cs.CL TIER_1 English(EN) · Aaron Bundi Anampiu ·

    Multilingual Polarization Detection Using Transformer-Based Models with Class Weighting and Threshold Tuning

    arXiv:2606.30857v1 Announce Type: new Abstract: This paper describes our submission to SemEval-2026 Task 9 on detecting multilingual, multicultural, and multievent online polarization. We address all three subtasks: binary polarization detection, polarization type classification,…

  3. arXiv cs.CL TIER_1 English(EN) · Aaron Bundi Anampiu ·

    Multilingual Polarization Detection Using Transformer-Based Models with Class Weighting and Threshold Tuning

    This paper describes our submission to SemEval-2026 Task 9 on detecting multilingual, multicultural, and multievent online polarization. We address all three subtasks: binary polarization detection, polarization type classification, and manifestation identification for English an…

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