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
Bridging the Domain Gap for Stance Detection for the Zulu language—0
360° Stance Detection—0
A Survey on Stance Detection for Mis- and Disinformation Identification—0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets—0
A Survey of Stance Detection on Social Media: New Directions and Perspectives—0
Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation—0
Building Chinese Affective Resources in Valence-Arousal Dimensions—0
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge—0
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy—0
Enhancing Stance Classification on Social Media Using Quantified Moral Foundations—0
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning—0
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News—0
Evolving Domain Adaptation of Pretrained Language Models for Text Classification—0
Can we trust the evaluation on ChatGPT?—0
Innovators@SMM4H’22: An Ensembles Approach for Stance and Premise Classification of COVID-19 Health Mandates Tweets—0
Examining Temporalities on Stance Detection towards COVID-19 Vaccination—0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best--Worst Scaling—0
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter—0
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents—0
A Hierarchical Decomposable Attention Model for News Stance Detection—0
Contrastive Language Adaptation for Cross-Lingual Stance Detection—0
Fake news stance detection using stacked ensemble of classifiers—0
FAKTA: An Automatic End-to-End Fact Checking System—0
Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter—0
A Dataset for Multi-Target Stance Detection—0
Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings—0
Integrating Stance Detection and Fact Checking in a Unified Corpus—0
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection—0
Computational Analysis of Political Texts: Bridging Research Efforts Across Communities—0
360 ^ Stance Detection—0
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies—0
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information—0
Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey—0
Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection—0
Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity—0
Incongruity Detection between Bangla News Headline and Body Content through Graph Neural Network—0
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets—0
How did the discussion go: Discourse act classification in social media conversations—0
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models—0
Assessing Sentiment of the Expressed Stance on Social Media—0
Human Centered NLP with User-Factor Adaptation—0
Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?—0
Collaborative Knowledge Infusion for Low-resource Stance Detection—0
Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection—0
Active learning for detection of stance components—0
IDI@NTNU at SemEval-2016 Task 6: Detecting Stance in Tweets Using Shallow Features and GloVe Vectors for Word Representation—0
IIITDWD@TamilNLP-ACL2022: Transformer-based approach to classify abusive content in Dravidian Code-mixed text—0
IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification—0
COVIDLies: Detecting COVID-19 Misinformation on Social Media—0
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents—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