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 26–50 of 343 papers

TitleStatusHype
A Multi-Task Learning Framework for Multi-Target Stance DetectionCode1
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications GloballyCode1
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection BenchmarkCode1
A Challenge Dataset and Effective Models for Conversational Stance DetectionCode1
Infusing Knowledge from Wikipedia to Enhance Stance DetectionCode1
ChatGPT: Jack of all trades, master of noneCode1
Contextual information integration for stance detection via cross-attentionCode1
Aspect-Controlled Neural Argument GenerationCode1
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social MediaCode1
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling—0
A Few Topical Tweets are Enough for Effective User-Level Stance Detection—0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best--Worst Scaling—0
ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination—0
Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus.—0
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia—0
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions—0
Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus—0
Embracing Diversity: A Multi-Perspective Approach with Soft Labels—0
360° Stance Detection—0
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs—0
Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance—0
Acquired TASTE: Multimodal Stance Detection with Textual and Structural Embeddings—0
Can Large Language Models Address Open-Target Stance Detection?—0
An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System—0
Can we trust the evaluation on ChatGPT?—0
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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