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 101–150 of 343 papers

TitleStatusHype
DEEM: Dynamic Experienced Expert Modeling for Stance DetectionCode0
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented CalibrationCode0
Putting Context in Context: the Impact of Discussion Structure on Text ClassificationCode0
Cross-target Stance Detection by Exploiting Target Analytical Perspectives—0
A Logically Consistent Chain-of-Thought Approach for Stance Detection—0
Identification of Multimodal Stance Towards Frames of CommunicationCode0
InfoPattern: Unveiling Information Propagation Patterns in Social MediaCode0
Evolving Domain Adaptation of Pretrained Language Models for Text Classification—0
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies—0
Data and models for stance and premise detection in COVID-19 tweets: insights from the Social Media Mining for Health (SMM4H) 2022 shared taskCode0
Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance DetectionCode0
Chain-of-Thought Embeddings for Stance Detection on Social MediaCode0
WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social WisdomCode0
TATA: Stance Detection via Topic-Agnostic and Topic-Aware EmbeddingsCode0
Enhancing Stance Classification on Social Media Using Quantified Moral Foundations—0
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs—0
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor DiscussionsCode0
Robust Stance Detection: Understanding Public Perceptions in Social Media—0
Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance ClassificationCode0
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field StudyCode0
Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection—0
Tutorials on Stance Detection using Pre-trained Language Models: Fine-tuning BERT and Prompting Large Language Models—0
Jean-Luc Picard at Touché 2023: Comparing Image Generation, Stance Detection and Feature Matching for Image Retrieval for Arguments—0
Stance Prediction and Analysis of Twitter data : A case study of Ghana 2020 Presidential ElectionsCode0
Knowledge-enhanced Prompt-tuning for Stance Detection—0
Voting Booklet Bias: Stance Detection in Swiss Federal CommunicationCode0
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance DetectionCode0
Guiding Computational Stance Detection with Expanded Stance Triangle FrameworkCode0
Detecting Multidimensional Political Incivility on Social MediaCode0
Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news mediaCode0
Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks—0
Examining Temporalities on Stance Detection towards COVID-19 Vaccination—0
Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media—0
Can we trust the evaluation on ChatGPT?—0
Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020Code0
Hashtag-Guided Low-Resource Tweet ClassificationCode0
Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis—0
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks—0
Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary StudyCode0
Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings—0
How would Stance Detection Techniques Evolve after the Launch of ChatGPT?Code0
Examining Political Rhetoric with Epistemic Stance DetectionCode0
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning—0
Improving Stance Detection by Leveraging Measurement Knowledge from Social Sciences: A Case Study of Dutch Political Tweets and Traditional Gender Role Division—0
Legal and Political Stance Detection of SCOTUS LanguageCode0
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter—0
A Multi-task Model for Sentiment Aided Stance Detection of Climate Change TweetsCode0
Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation ThreadsCode0
Incongruity Detection between Bangla News Headline and Body Content through Graph Neural Network—0
OpenStance: Real-world Zero-shot Stance DetectionCode0
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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