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

Qi An, Morten Grimmig Christensen, Annith Ramachandran, Raghava Rao Mukkamala, Ravi Vatrapu

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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.
Original languageEnglish
Title of host publicationBig Data – BigData 2018 : 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings
EditorsFrancis Y. L. Chin, C. L. Philip Chen, Latifur Khan, Kisung Lee, Liang-Jie Zhang
Number of pages17
Place of PublicationCham
Publication date2018
ISBN (Print)9783319943008
ISBN (Electronic)9783319943015
Publication statusPublished - 2018
Event7th International Congress on Big Data. BigData 2018: Held as Part of the Services Conference Federation, SCF 2018 - Seattle, United States
Duration: 25 Jun 201830 Jun 2018
Conference number: 7


Conference7th International Congress on Big Data. BigData 2018
Country/TerritoryUnited States
Internet address
SeriesLecture Notes in Computer Science

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