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 201–250 of 343 papers

TitleStatusHype
MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification—0
Improving Stance Detection by Leveraging Measurement Knowledge from Social Sciences: A Case Study of Dutch Political Tweets and Traditional Gender Role Division—0
MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection—0
UWB at SemEval-2016 Task 6: Stance Detection—0
Topic-independent Detection of Dissonance in Short Stance Text—0
Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus—0
Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection—0
Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model—0
A Few Topical Tweets are Enough for Effective User Stance Detection—0
Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles—0
Multi-Task Stance Detection with Sentiment and Stance Lexicons—0
OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields—0
Towards Explainable Fact Checking—0
Towards Fine-grained Classification of Climate Change related Social Media Text—0
On the Reliability and Validity of Detecting Approval of Political Actors in Tweets—0
Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes—0
Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models—0
Variational Self-attention Model for Sentence Representation—0
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization—0
Pedagogical stances and their multimodal signals.—0
Performing Stance Detection on Twitter Data using Computational Linguistics Techniques—0
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems—0
pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection—0
A Few Topical Tweets are Enough for Effective User-Level Stance Detection—0
Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Task—0
360 ^ Stance Detection—0
Tutorials on Stance Detection using Pre-trained Language Models: Fine-tuning BERT and Prompting Large Language Models—0
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection—0
Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus.—0
PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels—0
Predicting Stances from Social Media Posts using Factorization Machines—0
Adversarial Domain Adaptation for Stance Detection—0
Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes—0
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs—0
Quantifying Qualitative Data for Understanding Controversial Issues—0
Reasoner Outperforms: Generative Stance Detection with Rationalization for Social Media—0
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models—0
Relational Embeddings for Language Independent Stance Detection—0
Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection—0
Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models—0
RuArg-2022: Argument Mining Evaluation—0
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning—0
Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilities—0
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse—0
SemEval-2016 Task 6: Detecting Stance in Tweets—0
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases—0
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter—0
yiriyou@SMM4H’22: Stance and Premise Classification in Domain Specific Tweets with Dual-View Attention Neural Networks—0
Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017—0
Singlish Message Paraphrasing: A Joint Task of Creole Translation and Text Normalization—0
Show:102550
← PrevPage 5 of 7Next →
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