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Found 5 papers, 1 papers with 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.
Developing a Natural Language Understanding Model to Characterize Cable News Bias
Media bias has been extensively studied by both social and computational sciences.
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.
Measuring Classification Decision Certainty and Doubt
Quantitative characterizations and estimations of uncertainty are of fundamental importance in optimization and decision-making processes.
Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations
Capturing dynamics of operational similarity among terrorist groups is critical to provide actionable insights for counter-terrorism and intelligence monitoring.
