The Impact of COVID-19 on Subjective Well-Being: Evidence from Twitter Data

Carpi, Tiziana; Hino, Airo; Iacus, Stefano Maria; Porro, Giuseppe

doi:10.6339/22-JDS1066

Journal of Data Science

The Impact of COVID-19 on Subjective Well-Being: Evidence from Twitter Data

Volume 21, Issue 4 (2023), pp. 761–780

Tiziana Carpi Airo Hino Stefano Maria Iacus All authors (4)

https://doi.org/10.6339/22-JDS1066

Pub. online: 29 September 2022 Type: Data Science In Action

Open Access

Received
14 January 2022

Accepted
16 September 2022

Published
29 September 2022

Abstract

This study analyzes the impact of the COVID-19 pandemic on subjective well-being as measured through Twitter for the countries of Japan and Italy. In the first nine months of 2020, the Twitter indicators dropped by 11.7% for Italy and 8.3% for Japan compared to the last two months of 2019, and even more compared to their historical means. To understand what affected the Twitter mood so strongly, the study considers a pool of potential factors including: climate and air quality data, number of COVID-19 cases and deaths, Facebook COVID-19 and flu-like symptoms global survey data, coronavirus-related Google search data, policy intervention measures, human mobility data, macro economic variables, as well as health and stress proxy variables. This study proposes a framework to analyse and assess the relative impact of these external factors on the dynamic of Twitter mood and further implements a structural model to describe the underlying concept of subjective well-being. It turns out that prolonged mobility restrictions, flu and Covid-like symptoms, economic uncertainty and low levels of quality in social interactions have a negative impact on well-being.

Supplementary material

Supplementary Material

The supplementary material consists of the following sections: Construction of the Twitter indicators; Stochastic analysis; Dynamic Elastic Net and Dynamic variable selection for the SWB-I/J indicators; Structural equation models. As well as information on authors’ contribution and data availability.

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2023 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.

Open access article under the CC BY license.

Keywords

COVID-19 subjective well-being Twitter data

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