Surveilling COVID-19 Emotional Contagion on Twitter by Sentiment Analysis.

ABSTRACT:

Background

The fight against the COVID-19 pandemic seems to encompass a social media debate, possibly resulting in emotional contagion and the need for novel surveillance approaches. In the current study, we aimed to examine the flow and content of tweets, exploring the role of COVID-19 key events on the popular Twitter platform.

Methods

Using representative freely available data, we performed a focused, social media-based analysis to capture COVID-19 discussions on Twitter, considering sentiment and longitudinal trends between January 19 and March 3, 2020. Different populations of users were considered. Core discussions were explored measuring tweets' sentiment, by both computing a polarity compound score with 95% Confidence Interval and using a transformer-based model, pre

SUBMITTER: Crocamo C 

PROVIDER: S-EPMC7943954 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature