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arXiv — NLP / Computation & Language · · 3 min read

A Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit

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Computer Science > Computation and Language

arXiv:2606.13187 (cs)
[Submitted on 11 Jun 2026]

Title:A Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit

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Abstract:Bioethical debates increasingly unfold on social media, yet stance detection research lacks large-scale, domain-specific resources for modeling such context-dependent discourse. We present BioStance, a context-aware dataset of 39,600 annotated Post-Comment pairs from Reddit bioethical discussions. BioStance covers six controversial targets across three dimensions of bioethical controversy: fundamental value conflicts, individual liberty versus collective responsibility, and technological uncertainty. Each instance preserves hierarchical conversational context and is labeled by three independent annotators using a three-class stance scheme: Favor, Against, and None. The annotations achieve a mean Krippendorff's $\alpha$ of 0.82, indicating substantial reliability. By combining thematic diversity, conversational structure, and high-quality human annotation, BioStance supports research on context-aware stance detection, argument mining, and computational analysis of bioethical discourse.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2606.13187 [cs.CL]
  (or arXiv:2606.13187v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.13187
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Fuqiang Niu [view email]
[v1] Thu, 11 Jun 2026 10:53:33 UTC (2,111 KB)
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