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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
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#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity
Stance Detection in Web and Social Media: A Comparative Study
Stance Detection on Social Media: State of the Art and Trends
A Unified Feature Representation for Lexical Connotations
Stance Prediction for Contemporary Issues: Data and Experiments
Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
Aspect-Controlled Neural Argument Generation
A Few Topical Tweets are Enough for Effective User-Level Stance Detection
Multilingual Stance Detection: The Catalonia Independence Corpus
X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection
Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Task
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Contrastive Language Adaptation for Cross-Lingual Stance Detection
Deep Ensemble Learning for News Stance Detection
Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media
Assessing Sentiment of the Expressed Stance on Social Media
A Weakly-Supervised Attention-based Visualization Tool for Assessing Political Affiliation
FAKTA: An Automatic End-to-End Fact Checking System
Adversarial Domain Adaptation for Stance Detection
A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
Variational Self-attention Model for Sentence Representation
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News
Stance Prediction for Russian: Data and Analysis
Debunking Fake News One Feature at a Time
How did the discussion go: Discourse act classification in social media conversations
A Retrospective Analysis of the Fake News Challenge Stance Detection Task
An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System
Integrating Stance Detection and Fact Checking in a Unified Corpus
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