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 276–300 of 343 papers

Title	Date	Tasks	Status
Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles	Nov 1, 2018	ArticlesFake News Detection	—Unverified
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging	Oct 1, 2018	Fact CheckingQuestion Answering	—Unverified
Stance Prediction for Russian: Data and Analysis	Sep 5, 2018	ClassificationGeneral Classification	CodeCode Available
Debunking Fake News One Feature at a Time	Aug 8, 2018	Fake News DetectionStance Detection	CodeCode Available
How did the discussion go: Discourse act classification in social media conversations	Aug 7, 2018	General ClassificationSentence	—Unverified
Stance Detection with Hierarchical Attention Network	Aug 1, 2018	Feature EngineeringOpinion Mining	—Unverified
Predicting Stances from Social Media Posts using Factorization Machines	Aug 1, 2018	Decision MakingStance Detection	—Unverified
A Retrospective Analysis of the Fake News Challenge Stance-Detection Task	Aug 1, 2018	General ClassificationStance Classification	CodeCode Available
Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection	Jul 1, 2018	Opinion MiningSentiment Analysis	—Unverified
A Retrospective Analysis of the Fake News Challenge Stance Detection Task	Jun 13, 2018	General ClassificationStance Classification	CodeCode Available
Stance-In-Depth Deep Neural Approach to Stance Classification	Jun 8, 2018	ClassificationFake News Detection	—Unverified
Joker at SemEval-2018 Task 12: The Argument Reasoning Comprehension with Neural Attention	Jun 1, 2018	Argument MiningStance Detection	—Unverified
Learning Sentence Representations over Tree Structures for Target-Dependent Classification	Jun 1, 2018	ClassificationDecoder	—Unverified
360 ^ Stance Detection	Jun 1, 2018	Stance Detection	—Unverified
An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System	May 30, 2018	General ClassificationStance Detection	—Unverified
Quantifying Qualitative Data for Understanding Controversial Issues	May 1, 2018	Argument MiningDecision Making	—Unverified
Integrating Stance Detection and Fact Checking in a Unified Corpus	Apr 21, 2018	Fact CheckingRetrieval	—Unverified
Automatic Stance Detection Using End-to-End Memory Networks	Apr 20, 2018	Stance Detection	—Unverified
360° Stance Detection	Apr 3, 2018	Stance Detection	—Unverified
Stance Detection on Tweets: An SVM-based Approach	Mar 23, 2018	Sentiment AnalysisStance Detection	—Unverified
Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017	Mar 18, 2018	Sentiment AnalysisStance Detection	—Unverified
Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention	Jan 9, 2018	Stance Detection	—Unverified
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification	Dec 11, 2017	Fake News DetectionFeature Engineering	CodeCode Available
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling	Dec 5, 2017	Sentiment AnalysisStance Detection	—Unverified
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia	Nov 1, 2017	Named Entity Recognition (NER)Question Answering	—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