SOTAVerified

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

Showing 176–200 of 343 papers

TitleStatusHype
Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?—0
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection—0
Stance Detection in German News Articles—0
Improving Stance Detection with Multi-Dataset Learning and Knowledge DistillationCode0
Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study—0
Human Rationales as Attribution Priors for Explainable Stance DetectionCode0
Is Stance Detection Topic-Independent and Cross-topic Generalizable? -- A Reproduction Study—0
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-EncodersCode0
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance DetectionCode0
MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification—0
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information—0
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-TrainingCode1
DeInStance: Creating and Evaluating a German Corpus for Fine-Grained Inferred Stance Detection—0
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions—0
Towards Explainable Fact Checking—0
Legislator Representation Learning with Social Context and Expert KnowledgeCode0
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph—0
P-Stance: A Large Dataset for Stance Detection in Political DomainCode1
A Multi-Task Learning Framework for Multi-Target Stance DetectionCode1
Stance Detection in COVID-19 Tweets—0
Syntopical Graphs for Computational Argumentation Tasks—0
Political Ideology and Polarization of Policy Positions: A Multi-dimensional ApproachCode0
Exploring Summarization to Enhance Headline Stance DetectionCode1
Topic-independent Detection of Dissonance in Short Stance Text—0
Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter OpinionsCode0
Show:102550
← PrevPage 8 of 14Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RGTAcc87.8—Unverified
2Simple-HGNAcc85.3—Unverified
3GCNAcc82.4—Unverified
4GATAcc82.2—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF166.58—Unverified
2Kochkina et al. 2017Accuracy0.78—Unverified
3Bahuleyan and Vechtomova 2017Accuracy0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF183.17—Unverified
2Transition MatrixF177.76—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF164.82—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF162.79—Unverified
#ModelMetricClaimedVerifiedStatus
1BanglaBERT-DhoroniAccuracy0.64—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF182.1—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF156.97—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF188.06—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF163.96—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF183.11—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF152.76—Unverified
#ModelMetricClaimedVerifiedStatus
1COLA+GPT3.5Average F183.4—Unverified
#ModelMetricClaimedVerifiedStatus
1BoostingF10.87—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF164.71—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF158.72—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF178.61—Unverified
#ModelMetricClaimedVerifiedStatus
1BERTAverage F166—Unverified
#ModelMetricClaimedVerifiedStatus
1MUSE + UMAP (Unsupervised)Avg F10.86—Unverified
#ModelMetricClaimedVerifiedStatus
1MUSE + UMAP (Unsupervised)Avg F10.84—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF157.47—Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF170.98—Unverified