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DIVERSE: Deciphering Internet Views on the U.S. Military Through Video Comment Stance Analysis, A Novel Benchmark Dataset for Stance Classification
March 7, 2024, 5:47 a.m. | Iain J. Cruickshank, Lynnette Hui Xian Ng
cs.CL updates on arXiv.org arxiv.org
Abstract: 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. In particular, stance provides an indication of an opinion towards an entity. This paper introduces DIVERSE, a dataset of over 173,000 YouTube video comments annotated for their stance towards videos of the U.S. military. The stance is annotated through a human-guided, machine-assisted labeling …
abstract analysis arxiv benchmark classification cs.ai cs.cl dataset detection diverse identification internet key media military novel opinions social social media tasks text through topics type vaccination video
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