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Volkswagen's Diesel Emission Scandal: Analysis of Facebook Engagement and Financial Outcomes

机译:大众的柴油机排放丑闻:Facebook参与度和财务结果分析

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This paper investigates Volkswagen's diesel scandal with a focus on the relationship between their Facebook engagement and financial performance during the period of 2012-16. We employ the big social data analytics approaches of visual and text analytics on Volkswagen's Facebook data and financial reporting data. We specifically analyze the potential effects on the company in the diesel emission scandal years of 2014-2016. We find that the diesel emission scandal had the most impact in the short-term period immediately after its occurrence resulting in Facebook users reacting negatively against Volkswagen but also some users defending the company. In the long-term, it seems that the scandal has not impacted the company based on the analysis of both their financial data and their social media data.
机译:本文对大众汽车的柴油丑闻进行了调查,重点关注了2012-16年间他们的Facebook参与度与财务表现之间的关系。我们在大众汽车的Facebook数据和财务报告数据上采用视觉和文本分析的大型社交数据分析方法。我们专门分析了2014-2016年柴油排放丑闻对公司的潜在影响。我们发现,柴油机排放丑闻在发生后立即在短期内产生最大影响,导致Facebook用户对大众汽车做出负面反应,但也有一些用户为公司辩护。从长期来看,根据对财务数据和社交媒体数据的分析,该丑闻似乎并未对公司产生影响。

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  • 来源
    《Big data - BigData 2018》|2018年|260-276|共17页
  • 会议地点 Seattle(US)
  • 作者单位

    Centre for Business Data Analytics, Copenhagen Business School, Frederiksberg, Denmark;

    Centre for Business Data Analytics, Copenhagen Business School, Frederiksberg, Denmark;

    Centre for Business Data Analytics, Copenhagen Business School, Frederiksberg, Denmark;

    Centre for Business Data Analytics, Copenhagen Business School, Frederiksberg, Denmark,Westerdals Oslo School of Arts, Communication and Technology, Oslo, Norway;

    Centre for Business Data Analytics, Copenhagen Business School, Frederiksberg, Denmark,Westerdals Oslo School of Arts, Communication and Technology, Oslo, Norway;

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