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
Automatic detection of stance towards vaccination in online discussion forums	Nov 1, 2017	Binary ClassificationSentiment Analysis	—Unverified
Cross-lingual Flames Detection in News Discussions	Sep 1, 2017	Sarcasm DetectionSentiment Analysis	—Unverified
Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes	Sep 1, 2017	Information RetrievalStance Detection	—Unverified
Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus	Sep 1, 2017	Emotion RecognitionGeneral Classification	—Unverified
Fake news stance detection using stacked ensemble of classifiers	Sep 1, 2017	ClassificationFake News Detection	—Unverified
Unsupervised Detection of Argumentative Units though Topic Modeling Techniques	Sep 1, 2017	Argument MiningOpinion Mining	—Unverified
Human Centered NLP with User-Factor Adaptation	Sep 1, 2017	Document ClassificationDomain Adaptation	—Unverified
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features	Aug 1, 2017	Rumour DetectionStance Detection	—Unverified
IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification	Aug 1, 2017	Stance DetectionText Categorization	—Unverified
OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields	Aug 1, 2017	Opinion MiningSentiment Analysis	—Unverified
Joint Named Entity Recognition and Stance Detection in Tweets	Jul 30, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task	Jul 11, 2017	Fact CheckingMisinformation	CodeCode Available
Stance Detection in Turkish Tweets	Jun 21, 2017	Sentiment AnalysisStance Detection	—Unverified
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization	Apr 26, 2017	Stance Detection	—Unverified
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM	Apr 24, 2017	General ClassificationRumour Detection	CodeCode Available
Stance Detection in Facebook Posts of a German Right-wing Party	Apr 1, 2017	Relation ExtractionStance Detection	—Unverified
A Dataset for Multi-Target Stance Detection	Apr 1, 2017	ClassificationGeneral Classification	—Unverified
Performing Stance Detection on Twitter Data using Computational Linguistics Techniques	Mar 6, 2017	General ClassificationStance Detection	—Unverified
Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets	Feb 26, 2017	Stance Detection	—Unverified
Stance detection in online discussions	Jan 2, 2017	Stance Detection	—Unverified
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets	Dec 1, 2016	Argument MiningClassification	—Unverified
Active learning for detection of stance components	Dec 1, 2016	Active LearningOpinion Mining	—Unverified
Detecting Stance in Tweets And Analyzing its Interaction with Sentiment	Aug 1, 2016	Information RetrievalNatural Language Inference	—Unverified
Stance Detection with Bidirectional Conditional Encoding	Jun 17, 2016	Stance Detection	CodeCode Available
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection	Jun 13, 2016	SentenceStance 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