What motivates and demotivates energy savings in times of crisis? – An argument mining analysis using X/Twitter data

Author:

Loschke Carmen Sophia1,Braungardt Sibylle1,Rieger Jonas2

Affiliation:

1. Oeko-Institut

2. TU Dortmund

Abstract

Abstract

The energy crisis following the Russian invasion of Ukraine has prompted affected countries to increase efforts to save energy. Despite substantial energy conservation observed across sectors, research has inadequately explored the reasons behind these savings. This study bridges this gap by analyzing the discourse on energy conservation during the crisis in Germany, using Twitter data. We analyse a set of 136,837 tweets from January 2022 until May 2023. The analysis consists of two approaches based on natural language processing (NLP): First, we conduct word counts within the days with high tweet activity related to energy saving to identify specific triggers. For a broader quantitative analysis, we then use text classification to categorize the data set into different aspects as well as different stances and investigate how these evolve during the crisis. Our results show a heightened focus on energy conservation in the Twitter debate during the crisis, reflected in an increase of the average monthly tweets from 730 (before 2022) to 8,552 in 2022/2023. Regarding the motivations, ethical concerns linked to the war play a larger role in the initial months, while other factors such as energy costs, solidarity aspects, and climate change are consistently present throughout the debate. Additionally, we note significant negative discourse regarding the policy measures enacted during the crisis, indicating that policy backlash is a critical issue, at least in the realm of the Twitter debate. Given the vital role of energy efficiency in combating climate change, comprehending the motivations and de-motivations behind voluntary energy conservation during the crisis offers valuable insights. This understanding can inform future policies aiming to encourage energy savings.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3