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Stance Detection
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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
논문
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Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection
Learning Stance Embeddings from Signed Social Graphs
Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey
ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision
Stance Quantification: Definition of the Problem
STEM: Unsupervised STructural EMbedding for Stance Detection
Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?
Is Stance Detection Topic-Independent and Cross-topic Generalizable? -- A Reproduction Study
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions
Towards Explainable Fact Checking
Legislator Representation Learning with Social Context and Expert Knowledge
Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach
Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media
Adversarial Learning for Zero-Shot Stance Detection on Social Media
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
Cross-Domain Label-Adaptive Stance Detection
University of Copenhagen Participation in TREC Health Misinformation Track 2020
Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection
A Survey on Stance Detection for Mis- and Disinformation Identification
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs
Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection
Unseen Target Stance Detection with Adversarial Domain Generalization
Measuring What Counts: The case of Rumour Stance Classification
Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
Linked Credibility Reviews for Explainable Misinformation Detection
A Token Level Multi-target Stance Detection Dataset
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