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Media coverage in times of political crisis: a text mining approach

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  • JUNQUÉ DE FORTUNY, Enric
  • DE SMEDT, Tom
  • MARTENS, David
  • DAELEMANS, Walter

Abstract

At the year end of 2011 Belgium formed a government, after a world record breaking period of 541 days of negotiations. We have gathered and analysed 68; 000 related on-line news articles published in 2011 in Flemish newspapers. These articles were analysed by a custom-built expert system. The results of our text mining analyses show interesting differences in media coverage and votes for several political parties and politicians. With opinion mining, we are able to automatically detect the sentiment of each article, thereby allowing to visualize how the tone of reporting evolved throughout the year, on a party, politician and newspaper level. Our suggested framework introduces a generic text mining approach to analyse media coverage on political issues, including a set of methodological guidelines, evaluation metrics, as well as open source opinion mining tools. Since all analyses are based on automated text mining algorithms, an objective overview of the manner of reporting is provided. The analysis shows peaks of positive and negative sentiments during key moments in the negotiation process.

Suggested Citation

  • JUNQUÉ DE FORTUNY, Enric & DE SMEDT, Tom & MARTENS, David & DAELEMANS, Walter, 2012. "Media coverage in times of political crisis: a text mining approach," Working Papers 2012003, University of Antwerp, Faculty of Business and Economics.
    • Handle: RePEc:ant:wpaper:2012003
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    File URL: https://repository.uantwerpen.be/docman/irua/a49092/3913d985.pdf
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    1. JUNQUÉ DE FORTUNY, Enric & DE SMEDT, Tom & MARTENS, David & DAELEMANS, Walter, 2012. "Design and Evaluation of Empirical Models for Stock Price Prediction," Working Papers 2012017, University of Antwerp, Faculty of Business and Economics.
    2. Mariana Madruga de Brito & Danny Otto & Christian Kuhlicke, 2021. "Tracking Topics and Frames Regarding Sustainability Transformations during the Onset of the COVID-19 Crisis," Sustainability, MDPI, vol. 13(19), pages 1-19, October.
    3. Barbara Tiozzo & Anna Pinto & Federico Neresini & Stefano Sbalchiero & Nicoletta Parise & Mirko Ruzza & Licia Ravarotto, 2019. "Food risk communication: analysis of the media coverage of food risk on Italian online daily newspapers," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(6), pages 2843-2866, November.
    4. Olessia Y. Koltsova & Sergei V. Pashakhin, 2017. "Agenda Divergence in a Developing Conflict: A Quantitative Evidence from a Ukrainian and a Russian TV Newsfeeds," HSE Working papers WP BRP 79/SOC/2017, National Research University Higher School of Economics.
    5. Heidary Dahooie, Jalil & Raafat, Romina & Qorbani, Ali Reza & Daim, Tugrul, 2021. "An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

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