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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 171–180 of 343 papers

Title	Date	Tasks	Status	Hype	Score
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features	Aug 1, 2017	Rumour DetectionStance Detection	—Unverified	0	0
Jean-Luc Picard at Touché 2023: Comparing Image Generation, Stance Detection and Feature Matching for Image Retrieval for Arguments	Jul 18, 2023	Image GenerationImage Retrieval	—Unverified	0	0
結合LDA與SVM之社群使用者立場檢測(Stance Detection of Social Network Users by combining Latent Dirichlet Allocation and Support Vector Machine)	Oct 1, 2019	Stance Detection	—Unverified	0	0
基于主题提示学习的零样本立场检测方法(A Topic-based Prompt Learning Method for Zero-Shot Stance Detection)	Oct 1, 2022	Prompt LearningStance Detection	—Unverified	0	0
“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media	Nov 1, 2020	MisinformationPosition	—Unverified	0	0
Joint Named Entity Recognition and Stance Detection in Tweets	Jul 30, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified	0	0
Joker at SemEval-2018 Task 12: The Argument Reasoning Comprehension with Neural Attention	Jun 1, 2018	Argument MiningStance Detection	—Unverified	0	0
Journalism-Guided Agentic In-Context Learning for News Stance Detection	Jul 15, 2025	ArticlesIn-Context Learning	—Unverified	0	0
JU\_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines	Jun 1, 2016	Information RetrievalNatural Language Inference	—Unverified	0	0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets	Dec 1, 2016	Argument MiningClassification	—Unverified	0	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