Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing.

ABSTRACT:

Background

Online media play an important role in public health emergencies and serve as essential communication platforms. Infoveillance of online media during the COVID-19 pandemic is an important step toward gaining a better understanding of crisis communication.

Objective

The goal of this study was to perform a longitudinal analysis of the COVID-19-related content on online media based on natural language processing.

Methods

We collected a data set of news articles published by Croatian online media during the first 13 months of the pandemic. First, we tested the correlations between the number of articles and the number of new daily COVID-19 cases. Second, we analyzed the content by extracting the most frequent terms and applied the Jaccard similarity coefficient

SUBMITTER: Beliga S 

PROVIDER: S-EPMC8715984 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature