Tweeting about Sustainability: Can Emotional Nowcasting Discourage Greenwashing?

Andreas G. F. Hoepner, S. Dimatteo, Joe Schauld, Peiling Yi, Mirco Musolesi
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引用次数: 5

Abstract

Less than 100 firms worldwide are recognised by Bloomberg to report accurate greenhouse gas emissions. Yet, tens of thousands of people are talking and tweeting about climate change every day. How can this attention be converted into accurate action? We propose that sustainable data science might help, specifically that ‘emotional nowcasting’ of societal responses to sustainability related statements as expressed on Twitter. First, we differentiate between various types of corporate sustainability performance data and highlight the challenge that corporate greenwashing and a potential lack of financial independence of the assessor from the assessed poses for these data sets. Second, we adopt Lampos and Christianini’s (2012) emotional nowcasting with two case studies of an emotionally non-ambivalent context, the football matches England vs. Germany and England vs. USA at the 2010 world cup. These case studies serve as a proof of concept for emotional nowcasting. Finally, we discuss the potential for emotional nowcasting to mitigate the pandemic of greenwashing currently experienced in sustainability communication. We conclude that emotional nowcasting can serve as one test of greenwashing which is on its own though not necessarily sufficient.
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关于可持续发展的推特:情感的临近预测会阻止绿色清洗吗?
全球只有不到100家公司被彭博社认可报告了准确的温室气体排放量。然而,每天都有成千上万的人在谈论和发关于气候变化的推文。这种关注如何转化为准确的行动?我们建议可持续数据科学可能会有所帮助,特别是“情感临近预测”社会对Twitter上表达的可持续发展相关声明的反应。首先,我们区分了不同类型的企业可持续发展绩效数据,并强调了企业“漂绿”的挑战,以及评估者可能缺乏财务独立性对这些数据集构成的挑战。其次,我们采用Lampos和Christianini(2012)的情感临近预测方法,对2010年世界杯上英格兰对德国和英格兰对美国的两场足球比赛进行了情感非矛盾情境的案例研究。这些案例研究证明了情感临近投射的概念。最后,我们讨论了情感临近预测的潜力,以减轻目前在可持续性传播中经历的绿色清洗的流行。我们得出的结论是,情绪临近预测可以作为绿色清洗的一种测试,虽然它本身并不一定足够。
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