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 251–275 of 343 papers

Title	Date	Tasks	Status
Multi-Task Stance Detection with Sentiment and Stance Lexicons	Nov 1, 2019	Sentiment AnalysisSentiment Classification	—Unverified
Incorporating Label Dependencies in Multilabel Stance Detection	Nov 1, 2019	General ClassificationStance Detection	CodeCode Available
Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Task	Oct 31, 2019	SentenceSentence Embedding	—Unverified
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking	Oct 29, 2019	BIG-bench Machine LearningFact Checking	CodeCode Available
Contrastive Language Adaptation for Cross-Lingual Stance Detection	Oct 4, 2019	Stance Detection	—Unverified
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
Deep Ensemble Learning for News Stance Detection	Sep 13, 2019	Ensemble LearningFact Checking	—Unverified
Political Stance in Danish	Sep 1, 2019	Stance DetectionWord Embeddings	CodeCode Available
Assessing Sentiment of the Expressed Stance on Social Media	Aug 8, 2019	Stance Detection	—Unverified
Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media	Aug 8, 2019	Stance Detection	CodeCode Available
A Weakly-Supervised Attention-based Visualization Tool for Assessing Political Affiliation	Aug 5, 2019	Natural Language UnderstandingStance Detection	—Unverified
Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection	Aug 1, 2019	Fake News DetectionStance Detection	—Unverified
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning	Jul 1, 2019	Multi-Task LearningStance Classification	—Unverified
Computational Analysis of Political Texts: Bridging Research Efforts Across Communities	Jul 1, 2019	Stance Detection	—Unverified
FAKTA: An Automatic End-to-End Fact Checking System	Jun 7, 2019	Fact CheckingRetrieval	—Unverified
Tweet Stance Detection Using an Attention based Neural Ensemble Model	Jun 1, 2019	Stance Detection	—Unverified
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning	Jun 1, 2019	Multi-Task LearningSentence	—Unverified
Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes	Jun 1, 2019	General ClassificationStance Detection	—Unverified
Adversarial Domain Adaptation for Stance Detection	Feb 6, 2019	Domain AdaptationFact Checking	—Unverified
A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection	Jan 15, 2019	named-entity-recognitionNamed Entity Recognition	CodeCode Available
Variational Self-attention Model for Sentence Representation	Dec 30, 2018	modelSentence	—Unverified
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder	Nov 17, 2018	ArticlesData Augmentation	CodeCode Available
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News	Nov 2, 2018	Document ClassificationGeneral Classification	CodeCode Available
Stance Detection in Fake News A Combined Feature Representation	Nov 1, 2018	General ClassificationStance Detection	—Unverified
Dave the debater: a retrieval-based and generative argumentative dialogue agent	Nov 1, 2018	Argument MiningRetrieval	—Unverified

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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