@inproceedings{caporusso-etal-2024-jadt-politics,
    title = "Analysing Bias in Slovenian News Media: A Computational Comparison Based on Readers' Political Orientation",
    author = "Caporusso, Jaya  and
      Chatterjee, Nishan  and
      Fivaj{\v{z}}, Zoran  and
      Koloski, Boshko  and
      Ul{\v{c}}ar, Matej  and
      Martinc, Matej  and
      Vezovnik, Andrea  and
      Robnik-{\v{S}}ikonja, Marko  and
      Purver, Matthew  and
      Pollak, Senja",
    editor = "Dister, Anne  and
      Longr{\'{e}}e, Dominique",
    booktitle = "Proceedings of the 17es Journ{\'{e}}es internationales d'Analyse statistique des Donn{\'{e}}es Textuelles (JADT): Mots compt{\'{e}}s, textes d{\'{e}}chiffr{\'{e}}s",
    month = jun,
    year = "2024",
    address = "Brussels",
    publisher = "Presses Universitaires de Louvain",
    isbn = "978-2-39061-471-5 / 978-2-39061-472-2",
    annote = "ISBN 978-2-39061-471-5 / 978-2-39061-472-2",
    url = "http://www.eecs.qmul.ac.uk/~mpurver/papers/caporusso-et-al24jadt-politics.pdf",
    pages = "159--168",
    abstract = "This paper presents a split of a Slovenian news corpus based on the readers’ political leaning. By combining Slovenian news data with a large survey giving data on media consumption and self-reported political orientation, we create sub-corpora of news outlets consumed by left-, centre, and right-leaning readers and use it to build a political orientation classifier. Following prior work analysing dehumanisation in text, we then investigate the similarity between the migrants and LGBTQIA+ community social groups with the concept of moral disgust, taking into account the gender variable, across sub-corpora. Our main findings include the fact that female members of the target groups, migrants and LGBTQIA+ community, are more closely associated with moral disgust in the right-wing model.",
}