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 101125 of 343 papers

TitleStatusHype
A Survey on Stance Detection for Mis- and Disinformation Identification0
360° Stance Detection0
Cross-lingual Flames Detection in News Discussions0
A Survey on Stance Detection for Mis- and Disinformation Identification0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets0
Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviation0
Building Chinese Affective Resources in Valence-Arousal Dimensions0
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge0
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy0
Enhancing Stance Classification on Social Media Using Quantified Moral Foundations0
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph0
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News0
Evolving Domain Adaptation of Pretrained Language Models for Text Classification0
Can we trust the evaluation on ChatGPT?0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling0
Examining Temporalities on Stance Detection towards COVID-19 Vaccination0
COVIDLies: Detecting COVID-19 Misinformation on Social Media0
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets0
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning0
A Survey of Stance Detection on Social Media: New Directions and Perspectives0
Contrastive Language Adaptation for Cross-Lingual Stance Detection0
Fake news stance detection using stacked ensemble of classifiers0
FAKTA: An Automatic End-to-End Fact Checking System0
Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter0
A Hierarchical Decomposable Attention Model for News Stance Detection0
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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