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Text Analysis Methods for Misinformation–Related Research on Finnish Language Twitter

Author

Listed:
  • Jari Jussila

    (HAMK Smart Research Unit, Häme University of Applied Sciences, P.O. Box 230, 13100 Hämeenlinna, Finland)

  • Anu Helena Suominen

    (Faculty of Management and Business, Tampere University, P.O. Box 300, 28100 Pori, Finland)

  • Atte Partanen

    (HAMK Smart Research Unit, Häme University of Applied Sciences, P.O. Box 230, 13100 Hämeenlinna, Finland)

  • Tapani Honkanen

    (School of Entrepreneurship and Business, Häme University of Applied Sciences, P.O. Box 230, 13100 Hämeenlinna, Finland)

Abstract

The dissemination of disinformation and fabricated content on social media is growing. Yet little is known of what the functional Twitter data analysis methods are for languages (such as Finnish) that include word formation with endings and word stems together with derivation and compounding. Furthermore, there is a need to understand which themes linked with misinformation—and the concepts related to it—manifest in different countries and language areas in Twitter discourse. To address this issue, this study explores misinformation and its related concepts: disinformation, fake news, and propaganda in Finnish language tweets. We utilized (1) word cloud clustering, (2) topic modeling, and (3) word count analysis and clustering to detect and analyze misinformation-related concepts and themes connected to those concepts in Finnish language Twitter discussions. Our results are two-fold: (1) those concerning the functional data analysis methods and (2) those about the themes connected in discourse to the misinformation-related concepts. We noticed that each utilized method individually has critical limitations, especially all the automated analysis methods processing for the Finnish language, yet when combined they bring value to the analysis. Moreover, we discovered that politics, both internal and external, are prominent in the Twitter discussions in connection with misinformation and its related concepts of disinformation, fake news, and propaganda.

Suggested Citation

  • Jari Jussila & Anu Helena Suominen & Atte Partanen & Tapani Honkanen, 2021. "Text Analysis Methods for Misinformation–Related Research on Finnish Language Twitter," Future Internet, MDPI, vol. 13(6), pages 1-16, June.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:6:p:157-:d:576504
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    References listed on IDEAS

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    1. Vincenza Carchiolo & Alessandro Longheu & Michele Malgeri & Giuseppe Mangioni & Marialaura Previti, 2021. "Mutual Influence of Users Credibility and News Spreading in Online Social Networks," Future Internet, MDPI, vol. 13(5), pages 1-15, April.
    2. Edson C. Tandoc Jr. & Ryan J. Thomas & Lauren Bishop, 2021. "What Is (Fake) News? Analyzing News Values (and More) in Fake Stories," Media and Communication, Cogitatio Press, vol. 9(1), pages 110-119.
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    Cited by:

    1. Ashwag Alasmari & Aseel Addawood & Mariam Nouh & Wajanat Rayes & Areej Al-Wabil, 2021. "A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia," Future Internet, MDPI, vol. 13(10), pages 1-15, September.

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