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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 343 papers

TitleStatusHype
Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMACode4
A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19Code1
Cross-Domain Label-Adaptive Stance DetectionCode1
Will-They-Won't-They: A Very Large Dataset for Stance Detection on TwitterCode1
P-Stance: A Large Dataset for Stance Detection in Political DomainCode1
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-TrainingCode1
Exploring Summarization to Enhance Headline Stance DetectionCode1
JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance DetectionCode1
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance DetectionCode1
Unseen Target Stance Detection with Adversarial Domain GeneralizationCode1
Stance Detection with Collaborative Role-Infused LLM-Based AgentsCode1
Stance Detection Benchmark: How Robust Is Your Stance Detection?Code1
Multi-modal Stance Detection: New Datasets and ModelCode1
Human Language ModelingCode1
Knowledge Enhanced Masked Language Model for Stance DetectionCode1
Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized TurkeyCode1
Generative Entity-to-Entity Stance Detection with Knowledge Graph AugmentationCode1
Investigating User Radicalization: A Novel Dataset for Identifying Fine-Grained Temporal Shifts in OpinionCode1
Linked Credibility Reviews for Explainable Misinformation DetectionCode1
PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on TwitterCode1
Stance Detection in Web and Social Media: A Comparative StudyCode1
Stance Detection: A Practical Guide to Classifying Political Beliefs in TextCode1
X-Stance: A Multilingual Multi-Target Dataset for Stance DetectionCode1
Cascade-based Echo Chamber DetectionCode1
Adversarial Learning for Zero-Shot Stance Detection on Social MediaCode1
A Multi-Task Learning Framework for Multi-Target Stance DetectionCode1
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications GloballyCode1
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection BenchmarkCode1
A Challenge Dataset and Effective Models for Conversational Stance DetectionCode1
Infusing Knowledge from Wikipedia to Enhance Stance DetectionCode1
ChatGPT: Jack of all trades, master of noneCode1
Contextual information integration for stance detection via cross-attentionCode1
Aspect-Controlled Neural Argument GenerationCode1
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social MediaCode1
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling—0
A Few Topical Tweets are Enough for Effective User-Level Stance Detection—0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best--Worst Scaling—0
ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination—0
Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus.—0
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia—0
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions—0
Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus—0
Embracing Diversity: A Multi-Perspective Approach with Soft Labels—0
360° Stance Detection—0
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs—0
Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance—0
Acquired TASTE: Multimodal Stance Detection with Textual and Structural Embeddings—0
Can Large Language Models Address Open-Target Stance Detection?—0
An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System—0
Can we trust the evaluation on ChatGPT?—0
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All datasetsMGTABRumourEvalFNC-1ARC (AI2 Reasoning Challenge)argminDhoroniemergentiac1ibmcsmtsdPerspectrumpoldeb

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