Abstract

Behavioural scientists have been studying public perceptions to understand how and why people behave the way they do towards climate change. In recent times, enormous changes to behaviour and people’s interactions have been brought about by the worldwide coronavirus disease 2019 (COVID-19) pandemic, unexpectedly and indefinitely; some of which have environmental implications (e.g., travelling less). An innovative way to analyse public perceptions and behaviour is with the use of social media to understand the discourse around climate change. This paper focuses on assessing changes in social media discourse around actions for climate change mitigation over time during the global pandemic. Twitter data were collected at three different points during the pandemic: February (time 1), June (time 2), and October 2020 (time 3). By using machine learning techniques, including recurrent neural networks (RNN) and unsupervised learning Latent Dirichlet Allocation (LDA) topic modelling, we identified tweets mentioning actions to mitigate climate change. The findings identified topics related to “government actions,” “environmental behaviours,” “sustainable production,” and “awareness,” among others. We found an increase in tweets identified as “action tweets” relating to climate change for time 2 and time 3 compared with time 1. In addition, we found that the topic of energy seemed to be of relevance within the public’s perceptions of actions for climate change mitigation; this did not seem to change over time. We found that the topic of “government actions” was present across all time points and may have been influenced by political events at time 1, and by COVID-19 discourse at times 2 and 3. Moreover, topic changes over time within Twitter indicated a pattern that may have reflected restrictions on mobility as these tended to focus on individual and private sphere behaviours rather than group and public sphere behaviours. Changes in topic patterns may also reflect an increase in salience of certain behaviours (e.g., shopping), which may have received increased attention due to lockdown restrictions. Considering restrictions and adaptability challenges people face in times of a global pandemic may help to identify how to support sustainable behaviour change and the likely persistence of these changes.

Highlights

  • Climate change is one of the major global challenges for society

  • This paper reports the results from a longitudinal study, examining public perceptions of actions for climate change mitigation through sets of tweets streamed at three different points in time during the COVID-19 pandemic, contributing to the understanding of the publics’ perceptions of actions taken to mitigate climate change and the changes in these perceptions over time

  • According to the results of this study, public discourse around actions for climate change mitigation changed over time during the coronavirus pandemic on Twitter

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Summary

Introduction

The study of how the public perceives climate change and factors influencing mitigation and adaptation behaviours are important to respond effectively to this environmental issue. The use of big data and social media platforms such as Twitter to study climate change discourse is a relatively novel approach. Social media constitutes a vast pool of data available for the analysis and understanding of public opinions regarding climate change (Wu et al, 2016; Veltri and Atanasova, 2017; Pearce et al, 2019). With the emergence of the coronavirus disease 2019 (COVID-19) pandemic, the behaviour of individuals has faced challenging changes in different domains (e.g., health, social interaction, and travelling), some of these changes are followed by both positive (e.g., emission reductions) and negative impacts (e.g., putting aside environmental priorities; Helm, 2020). To date, there is no evidence on how the discourse on actions undertaken intentionally to mitigate climate change has been impacted by COVID-19

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