@inproceedings{knierim-heid-2025-argumentation,
    title = "Argumentation in political empowerment on {I}nstagram",
    author = "Knierim, Aenne  and
      Heid, Ulrich",
    editor = "Kazantseva, Anna  and
      Szpakowicz, Stan  and
      Degaetano-Ortlieb, Stefania  and
      Bizzoni, Yuri  and
      Pagel, Janis",
    booktitle = "Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025)",
    month = may,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.latechclfl-1.10/",
    pages = "97--108",
    ISBN = "979-8-89176-241-1",
    abstract = "This paper adopts a distant reading approach to analyze political empowerment on Instagram. We focus on argument mining and content classification to uncover cooccurences between aspects of political empowerment and argument components. We develop an annotation scheme based on literature in digital political empowerment, classifying content into five primary categories along the aspects of political awareness, personal e-identity and political participation. We implement the modified toulmin scheme for argument component detection. As an example discourse, we chose the German discourses {\#}WirSindMehr and {\#}NieWiederIstJetzt.The upheaval was targeted against right-wing extremism and antisemitism. Political awareness emerged as the dominant category, highlighting convergent public concern against antisemitism and right-wing extremism. Claims and backings often contain statements about societal change and aim to raise consciousness.Calls for participation in offline events appear mostly in non-argumentative texts."
}