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 301–325 of 343 papers

Title	Date	Tasks	Status
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection	Jun 13, 2016	SentenceStance Detection	CodeCode Available
MultiClimate: Multimodal Stance Detection on Climate Change Videos	Sep 26, 2024	Stance Detection	CodeCode Available
Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection	Nov 8, 2023	Stance Detection	CodeCode Available
Multilingual Stance Detection: The Catalonia Independence Corpus	Mar 31, 2020	Stance Detection	CodeCode Available
Multi-Perspective Stance Detection	Nov 13, 2024	ClassificationDiversity	CodeCode Available
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification	Dec 11, 2017	Fake News DetectionFeature Engineering	CodeCode Available
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets	May 23, 2022	Argument MiningBenchmarking	CodeCode Available
OpenStance: Real-world Zero-shot Stance Detection	Oct 25, 2022	Domain GeneralizationNatural Language Inference	CodeCode Available
ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization	Oct 17, 2024	BenchmarkingStance Detection	CodeCode Available
Political Ideology and Polarization: A Multi-dimensional Approach	Jul 1, 2022	ArticlesStance Detection	CodeCode Available
Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach	Jun 28, 2021	ArticlesStance Detection	CodeCode Available
Political Stance in Danish	Sep 1, 2019	Stance DetectionWord Embeddings	CodeCode Available
Putting Context in Context: the Impact of Discussion Structure on Text Classification	Feb 5, 2024	Stance Detectiontext-classification	CodeCode Available
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision	Jan 3, 2022	Hate Speech DetectionPropaganda detection	CodeCode Available
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics	May 4, 2020	Ensemble LearningStance Detection	CodeCode Available
Stance Detection with Bidirectional Conditional Encoding	Jun 17, 2016	Stance Detection	CodeCode Available
Stanceformer: Target-Aware Transformer for Stance Detection	Oct 9, 2024	Aspect-Based Sentiment AnalysisSentiment Analysis	CodeCode Available
Stance Prediction and Analysis of Twitter data : A case study of Ghana 2020 Presidential Elections	Jun 25, 2023	regressionSentiment Analysis	CodeCode Available
Stance Prediction for Contemporary Issues: Data and Experiments	May 29, 2020	PredictionStance Detection	CodeCode Available
Stance Prediction for Russian: Data and Analysis	Sep 5, 2018	ClassificationGeneral Classification	CodeCode Available
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning	Mar 22, 2024	Few-Shot Stance DetectionIn-Context Learning	CodeCode Available
STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval	Nov 1, 2020	ArticlesMulti-Task Learning	CodeCode Available
STEM: Unsupervised STructural EMbedding for Stance Detection	Dec 1, 2021	Discourse ParsingStance Detection	CodeCode Available
STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network	Mar 23, 2024	Stance Detection	CodeCode Available
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

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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