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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 141–150 of 343 papers

Title	Date	Tasks	Status	Hype	Score
Evolving Domain Adaptation of Pretrained Language Models for Text Classification	Nov 16, 2023	Domain AdaptationStance Detection	—Unverified	0	0
Can we trust the evaluation on ChatGPT?	Mar 22, 2023	Language ModelingLanguage Modelling	—Unverified	0	0
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News	Dec 1, 2020	Representation LearningStance Detection	—Unverified	0	0
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph	Aug 1, 2021	Few-Shot Stance DetectionStance Detection	—Unverified	0	0
Can Large Language Models Address Open-Target Stance Detection?	Aug 30, 2024	PositionStance Detection	—Unverified	0	0
Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus.	Apr 1, 2021	ArticlesStance Detection	—Unverified	0	0
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia	Nov 1, 2017	Named Entity Recognition (NER)Question Answering	—Unverified	0	0
Enhancing Stance Classification on Social Media Using Quantified Moral Foundations	Oct 15, 2023	ClassificationStance Classification	—Unverified	0	0
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy	Feb 7, 2025	Information RetrievalMisinformation	—Unverified	0	0
Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks	Apr 20, 2023	Sentiment AnalysisStance Detection	—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