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 151–200 of 343 papers

TitleStatusHype
結合LDA與SVM之社群使用者立場檢測(Stance Detection of Social Network Users by combining Latent Dirichlet Allocation and Support Vector Machine)—0
基于主题提示学习的零样本立场检测方法(A Topic-based Prompt Learning Method for Zero-Shot Stance Detection)—0
Joint Named Entity Recognition and Stance Detection in Tweets—0
Joker at SemEval-2018 Task 12: The Argument Reasoning Comprehension with Neural Attention—0
Journalism-Guided Agentic In-Context Learning for News Stance Detection—0
JU\_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines—0
Knowledge-enhanced Prompt-tuning for Stance Detection—0
Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection—0
Language Models Learn Metadata: Political Stance Detection Case Study—0
Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions—0
Learning Sentence Representations over Tree Structures for Target-Dependent Classification—0
Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance—0
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs—0
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter—0
Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection—0
LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information—0
LLMs are Introvert—0
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers—0
mattica@SMM4H’22: Leveraging sentiment for stance & premise joint learning—0
Measuring What Counts: The case of Rumour Stance Classification—0
360 ^ Stance Detection—0
Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis—0
Bridging the Domain Gap for Stance Detection for the Zulu language—0
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
Building Chinese Affective Resources in Valence-Arousal Dimensions—0
Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus—0
Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks—0
Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model—0
Can Large Language Models Address Open-Target Stance Detection?—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
Can we trust the evaluation on ChatGPT?—0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling—0
On the Reliability and Validity of Detecting Approval of Political Actors in Tweets—0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best--Worst Scaling—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
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions—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
Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter—0
Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus.—0
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection—0
PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels—0
Predicting Stances from Social Media Posts using Factorization Machines—0
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs—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