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

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

doi:10.1007/978-3-319-94301-5_20

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

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

Institut for Digitalisering

Westerdals – Oslo School of Arts, Communication and Technology

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

1022 Downloads (Pure)

Abstract

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.

Originalsprog	Engelsk
Titel	Big Data – BigData 2018 : 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings
Redaktører	Francis Y. L. Chin, C. L. Philip Chen, Latifur Khan, Kisung Lee, Liang-Jie Zhang
Antal sider	17
Udgivelsessted	Cham
Forlag	Springer
Publikationsdato	2018
Sider	260-276
ISBN (Trykt)	9783319943008
ISBN (Elektronisk)	9783319943015
DOI	https://doi.org/10.1007/978-3-319-94301-5_20
Status	Udgivet - 2018
Begivenhed	7th International Congress on Big Data. BigData 2018: Held as Part of the Services Conference Federation, SCF 2018 - Seattle, USA Varighed: 25 jun. 2018 → 30 jun. 2018 Konferencens nummer: 7 http://bigdatacongress.org/2018/index.html

Konference

Konference	7th International Congress on Big Data. BigData 2018
Nummer	7
Land/Område	USA
By	Seattle
Periode	25/06/2018 → 30/06/2018
Internetadresse	http://bigdatacongress.org/2018/index.html

Navn	Lecture Notes in Computer Science
Vol/bind	10968
ISSN	0302-9743

Adgang til dokumentet

10.1007/978-3-319-94301-5_20Licens: Ikke-specificeret

raghava_rao_mukkamala_et_al_volkwagens_diesel_emission_scandal_acceptedversionAccepteret manuskript, 628 KBLicens: Ikke-specificeret

Handle.net

Persistent link

Citationsformater

An, Q., Grimmig Christensen, M., Ramachandran, A., Mukkamala, R. R., & Vatrapu, R. (2018). Volkswagen’s Diesel Emission Scandal: Analysis of Facebook Engagement and Financial Outcomes. I F. Y. L. Chin, C. L. P. Chen, L. Khan, K. Lee, & L.-J. Zhang (red.), Big Data – BigData 2018: 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings (s. 260-276). Springer. https://doi.org/10.1007/978-3-319-94301-5_20

An, Qi ; Grimmig Christensen, Morten ; Ramachandran, Annith et al. / Volkswagen’s Diesel Emission Scandal : Analysis of Facebook Engagement and Financial Outcomes. Big Data – BigData 2018: 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings. red. / Francis Y. L. Chin ; C. L. Philip Chen ; Latifur Khan ; Kisung Lee ; Liang-Jie Zhang. Cham : Springer, 2018. s. 260-276 (Lecture Notes in Computer Science, Bind 10968).

@inproceedings{4ebad2b9a4de47c7a4fda25ae5f70803,

title = "Volkswagen{\textquoteright}s Diesel Emission Scandal: Analysis of Facebook Engagement and Financial Outcomes",

abstract = "This paper investigates Volkswagen{\textquoteright}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{\textquoteright}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.",

author = "Qi An and {Grimmig Christensen}, Morten and Annith Ramachandran and Mukkamala, {Raghava Rao} and Ravi Vatrapu",

year = "2018",

doi = "10.1007/978-3-319-94301-5_20",

language = "English",

isbn = "9783319943008",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "260--276",

editor = "Chin, {Francis Y. L.} and Chen, {C. L. Philip} and Latifur Khan and Kisung Lee and Liang-Jie Zhang",

booktitle = "Big Data – BigData 2018",

address = "Germany",

note = "7th International Congress on Big Data. BigData 2018 ; Conference date: 25-06-2018 Through 30-06-2018",

url = "http://bigdatacongress.org/2018/index.html",

}

An, Q, Grimmig Christensen, M, Ramachandran, A, Mukkamala, RR & Vatrapu, R 2018, Volkswagen’s Diesel Emission Scandal: Analysis of Facebook Engagement and Financial Outcomes. i FYL Chin, CLP Chen, L Khan, K Lee & L-J Zhang (red), Big Data – BigData 2018: 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings. Springer, Cham, Lecture Notes in Computer Science, bind 10968, s. 260-276, 7th International Congress on Big Data. BigData 2018, Seattle, Washington, USA, 25/06/2018. https://doi.org/10.1007/978-3-319-94301-5_20

Volkswagen’s Diesel Emission Scandal: Analysis of Facebook Engagement and Financial Outcomes. / An, Qi; Grimmig Christensen, Morten; Ramachandran, Annith et al.
Big Data – BigData 2018: 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings. red. / Francis Y. L. Chin; C. L. Philip Chen; Latifur Khan; Kisung Lee; Liang-Jie Zhang. Cham: Springer, 2018. s. 260-276 (Lecture Notes in Computer Science, Bind 10968).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Volkswagen’s Diesel Emission Scandal

T2 - 7th International Congress on Big Data. BigData 2018

AU - An, Qi

AU - Grimmig Christensen, Morten

AU - Ramachandran, Annith

AU - Mukkamala, Raghava Rao

AU - Vatrapu, Ravi

N1 - Conference code: 7

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-94301-5_20

DO - 10.1007/978-3-319-94301-5_20

M3 - Article in proceedings

SN - 9783319943008

T3 - Lecture Notes in Computer Science

SP - 260

EP - 276

BT - Big Data – BigData 2018

A2 - Chin, Francis Y. L.

A2 - Chen, C. L. Philip

A2 - Khan, Latifur

A2 - Lee, Kisung

A2 - Zhang, Liang-Jie

PB - Springer

CY - Cham

Y2 - 25 June 2018 through 30 June 2018

ER -

An Q, Grimmig Christensen M, Ramachandran A, Mukkamala RR , Vatrapu R. Volkswagen’s Diesel Emission Scandal: Analysis of Facebook Engagement and Financial Outcomes. I Chin FYL, Chen CLP, Khan L, Lee K, Zhang LJ, red., Big Data – BigData 2018: 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings. Cham: Springer. 2018. s. 260-276. (Lecture Notes in Computer Science, Bind 10968). doi: 10.1007/978-3-319-94301-5_20