Big Changes Start With Small Talk: Twitter and Climate Change in Times of Coronavirus Pandemic.
Big Changes Start With Small Talk: Twitter and Climate Change in Times of Coronavirus Pandemic.
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DOI：
10.3389/fpsyg.2021.661395
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发表时间：
2021
影响因子：
3.8
通讯作者：
Spence A
中科院分区：
文献类型：
--
作者：
Gaytan Camarillo M;Ferguson E;Ljevar V;Spence A
行为科学家一直在研究公众的看法，以了解人们如何以及为什么对气候变化采取这种行为。近年来，2019年冠状病毒病（COVID-19）全球大流行给行为和人与人之间的互动带来了巨大的变化，这种变化是出乎意料和无限期的;其中一些变化具有环境影响（例如，旅行更少）。分析公众看法和行为的一个创新方法是利用社交媒体了解围绕气候变化的讨论。本文重点评估了在全球大流行期间，随着时间的推移，社会媒体围绕减缓气候变化行动的话语变化。Twitter数据是在大流行期间的三个不同时间点收集的：2020年2月（时间1）、6月（时间2）和10月（时间3）。通过使用机器学习技术，包括递归神经网络（RNN）和无监督学习潜在狄利克雷分配（LDA）主题建模，我们识别了提及缓解气候变化行动的推文。调查结果确定了与“政府行动”、“环境行为”、“可持续生产”和“认识”等有关的主题。我们发现，与时间1相比，时间2和时间3中与气候变化有关的“行动推文”的推文有所增加。此外，我们发现，能源的主题似乎是相关的公众对减缓气候变化的行动的看法，这似乎并没有随着时间的推移而改变。我们发现，“政府行动”的话题在所有时间点都存在，可能在时间1受到政治事件的影响，在时间2和时间3受到COVID-19话语的影响。此外，推特上的话题随着时间的推移而变化，这表明了一种模式，可能反映了对流动性的限制，因为这些限制往往侧重于个人和私人领域的行为，而不是群体和公共领域的行为。主题模式的变化也可能反映出某些行为的显著性增加（例如，购物），这可能由于封锁限制而受到越来越多的关注。考虑到人们在全球大流行时期面临的限制和适应性挑战，可能有助于确定如何支持可持续的行为改变以及这些改变可能的持续性。
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.
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影响因子：
15.9
作者：
Klemes, Jiri Jaromir;Van Fan, Yee;Jiang, Peng
通讯作者：
Jiang, Peng
影响因子：
3.2
作者：
Bradley, Alex;James, Richard J. E.
通讯作者：
James, Richard J. E.
影响因子：
5.9
作者：
Helm, Dieter
通讯作者：
Helm, Dieter
影响因子：
3.8
作者：
Bostrom A;Böhm G;Hayes AL;O'Connor RE
通讯作者：
O'Connor RE
DOI：
10.1016/j.gloenvcha.2014.02.008
发表时间：
2014-05-01
影响因子：
8.9
作者：
Kirilenko, Andrei P.;Stepchenkova, Svetlana O.
通讯作者：
Stepchenkova, Svetlana O.