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Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study
April 8, 2024, 4:46 a.m. | Myrthe Reuver, Suzan Verberne, Antske Fokkens
cs.CL updates on arXiv.org arxiv.org
Abstract: For a viewpoint-diverse news recommender, identifying whether two news articles express the same viewpoint is essential. One way to determine "same or different" viewpoint is stance detection. In this paper, we investigate the robustness of operationalization choices for few-shot stance detection, with special attention to modelling stance across different topics. Our experiments test pre-registered hypotheses on stance detection. Specifically, we compare two stance task definitions (Pro/Con versus Same Side Stance), two LLM architectures (bi-encoding versus …
abstract articles arxiv cs.cl decisions detection diverse express few-shot modelling paper robustness study type
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