Understanding COVID-19 News Coverage using Medical NLP

• URL: http://arxiv.org/abs/2203.10338v1
• Date: Sat, 19 Mar 2022 15:07:46 GMT
• Title: Understanding COVID-19 News Coverage using Medical NLP
• Authors: Ali Emre Varol, Veysel Kocaman, Hasham Ul Haq, David Talby
• Abstract summary: The dataset includes more than 36,000 articles, analyzed using the clinical and biomedical Natural Language Processing (NLP) models from the Spark NLP for Healthcare library. The analysis covers key entities and phrases, observed biases, and change over time in news coverage. Another analysis is of extracted Adverse Drug Events about drug and vaccine manufacturers, which when reported by major news outlets has an impact on vaccine hesitancy.
• Score: 5.161531917413708
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Being a global pandemic, the COVID-19 outbreak received global media attention. In this study, we analyze news publications from CNN and The Guardian - two of the world's most influential media organizations. The dataset includes more than 36,000 articles, analyzed using the clinical and biomedical Natural Language Processing (NLP) models from the Spark NLP for Healthcare library, which enables a deeper analysis of medical concepts than previously achieved. The analysis covers key entities and phrases, observed biases, and change over time in news coverage by correlating mined medical symptoms, procedures, drugs, and guidance with commonly mentioned demographic and occupational groups. Another analysis is of extracted Adverse Drug Events about drug and vaccine manufacturers, which when reported by major news outlets has an impact on vaccine hesitancy.

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