Stance Classification
23 papers with code • 1 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Stance Classification
| Trend | Dataset | Best Model | Paper | Code | Compare |
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CoVaxLies v2
Latest papers with no code
DIVERSE: Deciphering Internet Views on the U.S. Military Through Video Comment Stance Analysis, A Novel Benchmark Dataset for Stance Classification
Stance detection of social media text is a key component of downstream tasks involving the identification of groups of users with opposing opinions on contested topics such as vaccination and within arguments.
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
Second, in a dataset extension exercise, using influence functions to automatically identify data points that have been initially `silver' annotated by some existing method and need to be cross-checked (and corrected) by annotators to improve the model performance.
Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation
The Stanceosaurus corpus (Zheng et al., 2022) was designed to provide high-quality, annotated, 5-way stance data extracted from Twitter, suitable for analyzing cross-cultural and cross-lingual misinformation.
Beyond Sentiment: Leveraging Topic Metrics for Political Stance Classification
Sentiment analysis, widely critiqued for capturing merely the overall tone of a corpus, falls short in accurately reflecting the latent structures and political stances within texts.
Enhancing Stance Classification with Quantified Moral Foundations
The results highlight the importance of considering deeper psychological attributes in stance analysis and underscores the role of moral foundations in guiding online social behavior.
Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
In general, we discover that LLMs do not routinely outperform their smaller supervised machine learning models, and thus call for stance detection to be a benchmark for which LLMs also optimize for.
TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore
While several countries have adopted total defence as their defence policy, very few studies have investigated its effectiveness.
Examining Temporalities on Stance Detection towards COVID-19 Vaccination
It is crucial for policymakers to have a comprehensive understanding of the public's stance towards vaccination on a large scale.
Can We Identify Stance Without Target Arguments? A Study for Rumour Stance Classification
Considering a conversation thread, rumour stance classification aims to identify the opinion (e. g. agree or disagree) of replies towards a target (rumour story).
Topic Ontologies for Arguments
Many computational argumentation tasks, like stance classification, are topic-dependent: the effectiveness of approaches to these tasks significantly depends on whether the approaches were trained on arguments from the same topics as those they are tested on.
