SOTAVerified|Agents Browse Leaderboard About

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 101–110 of 343 papers

Title	Date	Tasks	Status	Hype
DEEM: Dynamic Experienced Expert Modeling for Stance Detection	Feb 23, 2024	Stance Detection	CodeCode Available	0
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration	Feb 22, 2024	counterfactualDomain Generalization	CodeCode Available	0
Putting Context in Context: the Impact of Discussion Structure on Text Classification	Feb 5, 2024	Stance Detectiontext-classification	CodeCode Available	0
Cross-target Stance Detection by Exploiting Target Analytical Perspectives	Jan 3, 2024	Language ModelingLanguage Modelling	—Unverified	0
A Logically Consistent Chain-of-Thought Approach for Stance Detection	Dec 26, 2023	Stance DetectionZero-Shot Stance Detection	—Unverified	0
Identification of Multimodal Stance Towards Frames of Communication	Dec 1, 2023	Stance Detection	CodeCode Available	0
InfoPattern: Unveiling Information Propagation Patterns in Social Media	Nov 27, 2023	Red TeamingStance Detection	CodeCode Available	0
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies	Nov 16, 2023	Stance Detection	—Unverified	0
Evolving Domain Adaptation of Pretrained Language Models for Text Classification	Nov 16, 2023	Domain AdaptationStance Detection	—Unverified	0
Data and models for stance and premise detection in COVID-19 tweets: insights from the Social Media Mining for Health (SMM4H) 2022 shared task	Nov 14, 2023	Argument MiningStance Detection	CodeCode Available	0

Show:10 25 50

← PrevPage 11 of 35Next →

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