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Stance Detection

Stance detection is the extraction of a subject's reaction to a claim made by a primary actor. It is a core part of a set of approaches to fake news assessment.

Example:

Source: "Apples are the most delicious fruit in existence"
Reply: "Obviously not, because that is a reuben from Katz's"
Stance: deny

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 321–330 of 343 papers

Title	Date	Tasks	Status	Hype
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning	Mar 22, 2024	Few-Shot Stance DetectionIn-Context Learning	CodeCode Available	0
STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval	Nov 1, 2020	ArticlesMulti-Task Learning	CodeCode Available	0
STEM: Unsupervised STructural EMbedding for Stance Detection	Dec 1, 2021	Discourse ParsingStance Detection	CodeCode Available	0
STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network	Mar 23, 2024	Stance Detection	CodeCode Available	0
Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection	Oct 1, 2022	Contrastive LearningFew-Shot Stance Detection	CodeCode Available	0
TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings	Oct 22, 2023	ArticlesContrastive Learning	CodeCode Available	0
The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation	Apr 5, 2022	MisinformationStance Detection	CodeCode Available	0
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection	Jun 1, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	0
Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websites	Jan 15, 2025	Fact CheckingStance Detection	CodeCode Available	0
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM	Apr 24, 2017	General ClassificationRumour Detection	CodeCode Available	0

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All datasets MGTAB RumourEval FNC-1 ARC (AI2 Reasoning Challenge)argmin Dhoroni emergent iac1 ibmcs mtsd Perspectrum poldeb

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RGT	Acc	87.8	—	Unverified
2	Simple-HGN	Acc	85.3	—	Unverified
3	GCN	Acc	82.4	—	Unverified
4	GAT	Acc	82.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	66.58	—	Unverified
2	Kochkina et al. 2017	Accuracy	0.78	—	Unverified
3	Bahuleyan and Vechtomova 2017	Accuracy	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	83.17	—	Unverified
2	Transition Matrix	F1	77.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	64.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	62.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BanglaBERT-Dhoroni	Accuracy	0.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	82.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	56.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	88.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	63.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	83.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	52.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	COLA+GPT3.5	Average F1	83.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Boosting	F1	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	64.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	58.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	78.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT	Average F1	66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MUSE + UMAP (Unsupervised)	Avg F1	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MUSE + UMAP (Unsupervised)	Avg F1	0.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	57.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TESTED	F1	70.98	—	Unverified