Papers by Tony Mullen
Exploiting contextual information to improve stance detection in informal political discourse with LLMs (2025.acl-srw)
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| Challenge: | Political stance detection is an increasingly relevant part of analyzing the flow of ideas in online environments where discourse is informal and implicitly expressed. |
| Approach: | They evaluate large language models for political stance detection in informal online discourse by analyzing user profiles derived from historical posts. |
| Outcome: | The proposed model improves accuracy by up to 74% on a political forum dataset. |