Profiling the barriers to the spreading of news using news headlines
Abdul Sittar,
Dunja Mladenić,
Marko Grobelnik
Abstract:News headlines can be a good data source for detecting the barriers to the spreading of news in news media, which can be useful in many real-world applications. In this study, we utilize semantic knowledge through the inference-based model COMET and the 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… Show more
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