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Data Mining Cultural Aspects of Social Media Marketing

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Advances in Data Mining. Applications and Theoretical Aspects (ICDM 2014)

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Abstract

or marketing to function in a globalized world it must respect a diverse set of local cultures. With marketing efforts extending to social media platforms, the crossing of cultural boundaries can happen in an instant. In this paper we examine how culture influences the popularity of marketing messages in social media platforms. Text mining, automated translation and sentiment analysis contribute largely to our research. From our analysis of 400 posts on the localized Google+ pages of German car brands in Germany and the US, we conclude that posting time and emotions are important predictors for reshare counts.

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Authors and Affiliations

  1. Institute for Statistics and Mathematics, WU Vienna University of Economics and Business, Austria

    Ronald Hochreiter & Christoph Waldhauser

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  1. Ronald Hochreiter
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  2. Christoph Waldhauser
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Editors and Affiliations

  1. Institute of Computer Vision and Applied Computer Sciences, IBaI, Leipzig, Germany

    Petra Perner

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Hochreiter, R., Waldhauser, C. (2014). Data Mining Cultural Aspects of Social Media Marketing. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2014. Lecture Notes in Computer Science(), vol 8557. Springer, Cham. https://doi.org/10.1007/978-3-319-08976-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-08976-8_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08975-1

  • Online ISBN: 978-3-319-08976-8

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