CO.ME.T.A. -- covid-19 media textual analysis. A dashboard for media monitoring

• URL: http://arxiv.org/abs/2004.07742v1
• Date: Thu, 16 Apr 2020 16:24:56 GMT
• Title: CO.ME.T.A. -- covid-19 media textual analysis. A dashboard for media monitoring
• Authors: Emma Zavarrone, Maria Gabriella Grassia, Marina Marino, Rasanna Cataldo, Rocco Mazza, Nicola Canestrari
• Abstract summary: The dashboard allows to explore the mining of contents extracted and study the lexical structure that links the main discussion topics. Results obtained on a subset of documents show not only a health-related semantic dimension, but it also extends to social-economic dimensions.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The focus of this paper is to trace how mass media, particularly newspapers, have addressed the issues about the containment of contagion or the explanation of epidemiological evolution. We propose an interactive dashboard: CO.ME.T.A.. During crises it is important to shape the best communication strategies in order to respond to critical situations. In this regard, it is important to monitor the information that mass media and social platforms convey. The dashboard allows to explore the mining of contents extracted and study the lexical structure that links the main discussion topics. The dashboard merges together four methods: text mining, sentiment analysis, textual network analysis and latent topic models. Results obtained on a subset of documents show not only a health-related semantic dimension, but it also extends to social-economic dimensions.

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