April 3, 2024, 4:46 a.m. | Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.01679v1 Announce Type: new
Abstract: Social media is an easy-to-access platform providing timely updates about societal trends and events. Discussions regarding epidemic-related events such as infections, symptoms, and social interactions can be crucial for informing policymaking during epidemic outbreaks. In our work, we pioneer exploiting Event Detection (ED) for better preparedness and early warnings of any upcoming epidemic by developing a framework to extract and analyze epidemic-related events from social media posts. To this end, we curate an epidemic event …

abstract arxiv cs.cl cs.si detection discussions easy epidemic event events interactions media outbreaks platform policymaking prediction social social media trends type updates work

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