Stance Classification
23 papers with code • 1 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Stance Classification
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CoVaxLies v2
Latest papers with no code
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks
Subsequently, we propose a bipartite graph neural network model, DoubleH, which aims to better utilize homogeneous and heterogeneous information in user stance detection tasks.
Distant finetuning with discourse relations for stance classification
Approaches for the stance classification task, an important task for understanding argumentation in debates and detecting fake news, have been relying on models which deal with individual debate topics.
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning
The diffusion of rumors on microblogs generally follows a propagation tree structure, that provides valuable clues on how an original message is transmitted and responded by users over time.
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification
In this work, we propose to use recurrent neural ordinary differential equations (RNODE) for social media post classification which consider the time of posting and allow the computation of hidden representation to evolve in a time-sensitive continuous manner.
A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
Traditionally, a debate usually requires a manual preparation process, including reading plenty of articles, selecting the claims, identifying the stances of the claims, seeking the evidences for the claims, etc.
Advances in Debating Technologies: Building AI That Can Debate Humans
We present a complete pipeline of a debating system, and discuss the information flow and the interaction between the various components.
Measuring What Counts: The case of Rumour Stance Classification
This paper specifically questions the evaluation metrics used in these shared tasks.
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity
Due to widely available social media platforms and increased usage caused the data to be available in huge amounts. The manual methods to process such large data is costly and time-taking, so there has been an increased attention to process and verify such content automatically for the presence of rumors.
Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model
Research on computational argumentation is currently being intensively investigated.
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains
We address the issue of having a limited number of annotations for stance classification in a new domain, by adapting out-of-domain classifiers with domain adaptation.
