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 51–100 of 343 papers

TitleStatusHype
Stance Prediction for Contemporary Issues: Data and ExperimentsCode0
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented CalibrationCode0
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance DetectionCode0
Political Ideology and Polarization of Policy Positions: A Multi-dimensional ApproachCode0
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact CheckingCode0
Putting Context in Context: the Impact of Discussion Structure on Text ClassificationCode0
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance DetectionCode0
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance DetectionCode0
Legal and Political Stance Detection of SCOTUS LanguageCode0
Demystifying the COVID-19 vaccine discourse on TwitterCode0
Learning Stance Embeddings from Signed Social GraphsCode0
Chain-of-Thought Embeddings for Stance Detection on Social MediaCode0
MultiClimate: Multimodal Stance Detection on Climate Change VideosCode0
DEEM: Dynamic Experienced Expert Modeling for Stance DetectionCode0
Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered StudyCode0
IUST at ClimateActivism 2024: Towards Optimal Stance Detection: A Systematic Study of Architectural Choices and Data Cleaning TechniquesCode0
Incorporating Stock Market Signals for Twitter Stance DetectionCode0
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccinationCode0
Incorporating Label Dependencies in Multilabel Stance DetectionCode0
InfoPattern: Unveiling Information Propagation Patterns in Social MediaCode0
Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance DetectionCode0
Identification of Multimodal Stance Towards Frames of CommunicationCode0
Hashtag-Guided Low-Resource Tweet ClassificationCode0
How would Stance Detection Techniques Evolve after the Launch of ChatGPT?Code0
Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation ThreadsCode0
FarExStance: Explainable Stance Detection for FarsiCode0
Guiding Computational Stance Detection with Expanded Stance Triangle FrameworkCode0
Human Rationales as Attribution Priors for Explainable Stance DetectionCode0
Improving Stance Detection with Multi-Dataset Learning and Knowledge DistillationCode0
ExaASC: A General Target-Based Stance Detection Corpus in Arabic LanguageCode0
Data and models for stance and premise detection in COVID-19 tweets: insights from the Social Media Mining for Health (SMM4H) 2022 shared taskCode0
A Tweet Dataset Annotated for Named Entity Recognition and Stance DetectionCode0
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake NewsCode0
Debunking Fake News One Feature at a TimeCode0
Examining Political Rhetoric with Epistemic Stance DetectionCode0
Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news mediaCode0
Collaborative Stance Detection via Small-Large Language Model Consistency VerificationCode0
Legislator Representation Learning with Social Context and Expert KnowledgeCode0
Detecting Multidimensional Political Incivility on Social MediaCode0
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical EncoderCode0
Explainable Deep Learning: A Visual Analytics Approach with Transition MatricesCode0
Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary StudyCode0
Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language ProcessingCode0
EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance DetectionCode0
A simple but tough-to-beat baseline for the Fake News Challenge stance detection taskCode0
A Richly Annotated Corpus for Different Tasks in Automated Fact-CheckingCode0
Multi-Perspective Stance DetectionCode0
On the Benefit of Combining Neural, Statistical and External Features for Fake News IdentificationCode0
EcoVerse: An Annotated Twitter Dataset for Eco-Relevance Classification, Environmental Impact Analysis, and Stance DetectionCode0
Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media ContentCode0
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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