感受高温?利用推特数据分析西班牙的气候变化情绪

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Maria L. Loureiro , Maria Alló
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引用次数: 0

摘要

为了揭示在这种大流行后形势下有关气候变化的最新讨论,我们利用了一个独特的数据集,该数据集结合了 2017-2022 年期间西班牙推特上带有地理标记的社交媒体数据。我们利用自然语言处理技术对推特对话进行了分析,以获得与气候变化相关的情感评分。这些分数与其他相关控制变量进行了合并,旨在了解外部温度、热浪的发生以及与气候相关的死亡等因素对情绪分数演变的影响。我们发现,外部气温对情绪有强烈的负面影响,而近期热浪和与气候相关的死亡人数的增加则加剧了这种负面影响。此外,在经历了最近的 COVID-19 之后,这种负面情绪更加突出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data

To shed light on the recent debate about climate change in this post-pandemic scenario, we take advantage of a unique dataset that combines geo-tagged social media data from Twitter in Spain from 2017 to 2022. Twitter conversations have been analyzed with natural language processing techniques to obtain sentiment scores related to climate change. These were merged with additional relevant control variables, aiming to understand the role of the contributing factors on the evolution of the hedonic scores, including external temperatures, the occurrence of heat waves, and deaths related to climate. We find a strong negative effect of external temperatures on sentiment, aggravated by recent increases in the frequency of heat waves and deaths related to climate. Further, this negative sentiment is accentuated after experiencing the recent COVID-19.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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