Stance Detection
22개 벤치마크 · 논문 387편 · 이 태스크의 논문 보기 →
Benchmarks
MGTAB
RumourEval
FNC-1
Dhoroni
P-Stance
Perspectrum
RuStance
SCD
STEDUCOV: A DATASET ON STANCE DETECTION IN TWEETS TOWARDS ONLINE EDUCATION DURING COVID-19 PANDEMIC
SemEval 2019
Snopes
Turkish Elections 2018
VAST
argmin
emergent
iac1
ibmcs
mtsd
poldeb
wtwt
Most implemented
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
A Retrospective Analysis of the Fake News Challenge Stance Detection Task
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News
FarExStance: Explainable Stance Detection for Farsi
Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMA
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Papers
Mawqif-XT: An Arabic Benchmark Dataset for Cross-Target Stance Detection
Publicly available Arabic datasets for target-specific stance detection remain limited, particularly for evaluating cross-target generalization. This paper presents the Mawqif-XT, consisting of 996 manually annotated Ara…
Stance DetectionTikStance: A Multimodal and Hierarchical Dataset for Multi-target Stance Analysis in TikTok Political Conversations
Political discourse has increasingly moved to short-video platforms, yet computational analysis of such content remains constrained by the scarcity of datasets that jointly preserve audiovisual information and hierarchic…
Stance DetectionPAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection
We introduce PAST-TIDE, our stance detection system addressing both subtasks of the StanceNakba Shared Task at NakbaNLP@LREC-COLING 2026. The main idea is statement tuning. We redefine stance as cloze-style masked langua…
Contrastive LearningStance DetectionZero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning
Zero-shot tweet-level stance detection confronts two primary challenges: (1) mitigating the context sparsity inherent in short texts, and (2) establishing the relevance between implicit targets and textual content. While…
Contrastive LearningData AugmentationKnowledge GraphsStance DetectionLLM-Assisted Stance Detection in Scientific Discourse: A Test Case in Bayesian Cognitive Science
Qualitative coding is central to social science, but expert annotation is difficult to scale. LLMs offer a possible extension, yet require careful validation when the target construct is interpretive, theoretically loade…
Stance DetectionA Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit
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 data…
Stance DetectionArgument Mining