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Media Partisanship During Election: Indonesian Cases

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Complex Networks & Their Applications IX (COMPLEX NETWORKS 2020 2020)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 943))

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Abstract

Analysis of media partisanship during election requires an objective measurement of political bias that frames the content of information conveyed to the audience. In this study, we propose a method for political stance detection of online news outlets based on the behavior of their audience in social media. The method consists of 3 processing stages, namely hashtag-based user labeling, network-based user labeling, and media classification. Evaluation results show that the proposed method is very effective in detecting the political affiliation of Twitter users as well as predicting the political stance of news media. Overall, the stance of media in the spectrum of political valence confirms the general allegations of media partisanship during the 2019 Indonesian election. Further elaboration regarding news consumption behavior shows that low-credibility news outlets tend to have extreme political positions, while partisan readers tend not to question the credibility of the news sources they share.

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Notes

  1. 1.

    The dataset used in this study is available in limited form at https://github.com/ardianeff/indomediaelection2019

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Author information

Authors and Affiliations

  1. Department of Computational Sociology, Bandung Fe Institute, Bandung, 40151, Indonesia

    Ardian Maulana & Hokky Situngkir

Authors
  1. Ardian Maulana
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  2. Hokky Situngkir
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Corresponding author

Correspondence to Ardian Maulana .

Editor information

Editors and Affiliations

  1. Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, Madrid, Madrid, Spain

    Rosa M. Benito

  2. IUT Lumière, University of Lyon, Bron Cedex, France

    Chantal Cherifi

  3. LIB, UFR Sciences et Techniques, Université de Bourgogne, Dijon, France

    Hocine Cherifi

  4. Grupo Interdisciplinar de Sistemas Complejos, Departamento de Matematicas, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Esteban Moro

  5. Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA

    Luis Mateus Rocha

  6. Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Tarragona, Spain

    Marta Sales-Pardo

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Maulana, A., Situngkir, H. (2021). Media Partisanship During Election: Indonesian Cases. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020 2020. Studies in Computational Intelligence, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-65347-7_54

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  • DOI: https://doi.org/10.1007/978-3-030-65347-7_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65346-0

  • Online ISBN: 978-3-030-65347-7

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