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 251–275 of 343 papers

TitleStatusHype
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19—0
SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media—0
SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions—0
SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection—0
Tweet Stance Detection Using an Attention based Neural Ensemble Model—0
Stance and Sentiment in Tweets—0
Robust Stance Detection: Understanding Public Perceptions in Social Media—0
Stance Detection and Open Research Avenues—0
Advancing Annotation of Stance in Social Media Posts: A Comparative Analysis of Large Language Models and Crowd Sourcing—0
Stance Detection in Code-Mixed Hindi-English Social Media Data using Multi-Task Learning—0
Stance Detection in COVID-19 Tweets—0
A Weakly-Supervised Attention-based Visualization Tool for Assessing Political Affiliation—0
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning—0
Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance—0
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs—0
Stance Detection in Facebook Posts of a German Right-wing Party—0
Bridging the Domain Gap for Stance Detection for the Zulu language—0
Stance Detection in Fake News A Combined Feature Representation—0
Automatic Stance Detection Using End-to-End Memory Networks—0
Building Chinese Affective Resources in Valence-Arousal Dimensions—0
Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks—0
Can Large Language Models Address Open-Target Stance Detection?—0
Can we trust the evaluation on ChatGPT?—0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling—0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best--Worst Scaling—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