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 201250 of 343 papers

TitleStatusHype
Quantifying Qualitative Data for Understanding Controversial Issues0
Reasoner Outperforms: Generative Stance Detection with Rationalization for Social Media0
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models0
Relational Embeddings for Language Independent Stance Detection0
Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection0
Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models0
RuArg-2022: Argument Mining Evaluation0
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning0
Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilities0
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse0
SemEval-2016 Task 6: Detecting Stance in Tweets0
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases0
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter0
Clarifying Misconceptions in COVID-19 Vaccine Sentiment and Stance Analysis and Their Implications for Vaccine Hesitancy Mitigation: A Systematic Review0
Singlish Message Paraphrasing: A Joint Task of Creole Translation and Text Normalization0
Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-20170
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-190
SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media0
SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions0
SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection0
C-MTCSD: A Chinese Multi-Turn Conversational Stance Detection Dataset0
Stance and Sentiment in Tweets0
Robust Stance Detection: Understanding Public Perceptions in Social Media0
Stance Detection and Open Research Avenues0
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning0
Stance Detection in COVID-19 Tweets0
Stance Detection in Facebook Posts of a German Right-wing Party0
Stance Detection in Fake News A Combined Feature Representation0
Stance Detection in German News Articles0
Stance detection in online discussions0
Stance Detection in Turkish Tweets0
Stance Detection on Social Media: State of the Art and Trends0
Stance Detection on Social Media with Fine-Tuned Large Language Models0
Stance Detection on Tweets: An SVM-based Approach0
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media0
Collaborative Knowledge Infusion for Low-resource Stance Detection0
Stance Detection with Hierarchical Attention Network0
Stance-Driven Multimodal Controlled Statement Generation: New Dataset and Task0
A Few Topical Tweets are Enough for Effective User-Level Stance Detection0
Stance-In-Depth Deep Neural Approach to Stance Classification0
Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey0
A Few Topical Tweets are Enough for Effective User Stance Detection0
Computational Analysis of Political Texts: Bridging Research Efforts Across Communities0
Stance Quantification: Definition of the Problem0
Contrastive Language Adaptation for Cross-Lingual Stance Detection0
StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic0
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning0
COVIDLies: Detecting COVID-19 Misinformation on Social Media0
Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus.0
Zero-Shot Stance Detection using Contextual Data Generation with LLMsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RGTAcc87.8Unverified
2Simple-HGNAcc85.3Unverified
3GCNAcc82.4Unverified
4GATAcc82.2Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF166.58Unverified
2Kochkina et al. 2017Accuracy0.78Unverified
3Bahuleyan and Vechtomova 2017Accuracy0.78Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF183.17Unverified
2Transition MatrixF177.76Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF164.82Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF162.79Unverified
#ModelMetricClaimedVerifiedStatus
1BanglaBERT-DhoroniAccuracy0.64Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF182.1Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF156.97Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF188.06Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF163.96Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF183.11Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF152.76Unverified
#ModelMetricClaimedVerifiedStatus
1COLA+GPT3.5Average F183.4Unverified
#ModelMetricClaimedVerifiedStatus
1BoostingF10.87Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF164.71Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF158.72Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF178.61Unverified
#ModelMetricClaimedVerifiedStatus
1BERTAverage F166Unverified
#ModelMetricClaimedVerifiedStatus
1MUSE + UMAP (Unsupervised)Avg F10.86Unverified
#ModelMetricClaimedVerifiedStatus
1MUSE + UMAP (Unsupervised)Avg F10.84Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF157.47Unverified
#ModelMetricClaimedVerifiedStatus
1TESTEDF170.98Unverified