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Profiling the news spreading barriers using news headlines. (arXiv:2304.11088v1 [cs.CL])
cs.LG updates on arXiv.org arxiv.org
News headlines can be a good data source for detecting the news spreading
barriers in news media, which may be useful in many real-world applications. In
this paper, we utilize semantic knowledge through the inference-based model
COMET and sentiments of news headlines for barrier classification. We consider
five barriers including cultural, economic, political, linguistic, and
geographical, and different types of news headlines including health, sports,
science, recreation, games, homes, society, shopping, computers, and business.
To that end, we collect and …
applications arxiv business classification comet computers data economic five games good health homes inference knowledge media paper profiling science semantic shopping society sports through types world