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Establishing social media firestorm scale via large dataset media analytics

Author

Listed:
  • Kalle Nuortimo

    (University of Oulu)

  • Erkki Karvonen

    (University of Oulu)

  • Janne Härkönen

    (University of Oulu)

Abstract

A social media (SoMe) firestorm can present a liability for personal brands via the loss of reputation, as well as for the organisational brand image. The drastic measures often taken in these situations, especially in cases of negative media attention or a scandal, usually involve dismissal of the related persons. Hence, predicting, monitoring, analysing and measuring SoMe firestorms related to organisations or individuals can be beneficial. This paper describes SoMe firestorms and their effect, using media analysis involving opinion mining. The analysis focuses on the human trash (ihmisroska) scandal that was caused by a local centre party politician in Finland. The politician caused a SoMe firestorm by describing homeless people and substance addicts as ‘human trash’. The analysis utilises machine learning to classify 3300 media hits in the Finnish language to analyse their sentiment during the SoMe firestorm. General conclusions are drawn about the spread and influence of the SoMe firestorm to form a basis for wider global generalisation. The study formulates a scale for quantifying and analysing the influence of SoMe firestorms. The scale includes three classes relating to the exponential rise of the effect, starting from 1, with 3 being the highest. This scale aligns with the literature, which states that these events usually follow the same pattern. The case example provides further direction for the presented 1–3 level scale.

Suggested Citation

  • Kalle Nuortimo & Erkki Karvonen & Janne Härkönen, 2020. "Establishing social media firestorm scale via large dataset media analytics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(4), pages 224-233, December.
    • Handle: RePEc:pal:jmarka:v:8:y:2020:i:4:d:10.1057_s41270-020-00080-w
    DOI: 10.1057/s41270-020-00080-w
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    References listed on IDEAS

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    1. Ilias Flaounas & Marco Turchi & Omar Ali & Nick Fyson & Tijl De Bie & Nick Mosdell & Justin Lewis & Nello Cristianini, 2010. "The Structure of the EU Mediasphere," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-6, December.
    2. Hillert, Alexander & Jacobs, Heiko & Müller, Sebastian, 2018. "Journalist disagreement," Journal of Financial Markets, Elsevier, vol. 41(C), pages 57-76.
    3. Kalle Nuortimo & Janne Harkonen, 2019. "Establishing an automated brand index based on opinion mining: analysis of printed and social media," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 141-151, September.
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