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Argumentation in political Empowerment on Instagram

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.
Publication Type
ConferencePaper
Author
Knierim, Aenne 
•
Heid, Ulrich 
Date Issued
2025
DOI
10.18653/v1/2025.latechclfl-1.10
Faculty
Fachbereich 3 
Institute / Institution
Institut für Informationswissenschaft und Sprachtechnologie 
Published in
Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025)
Conference
9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Albuquerque, 04.05.2025
Publisher
ACL
Page Start
97
Page End
108
ISBN
979-8-89176-241-1
HilPub short link
https://hilpub.uni-hildesheim.de/handle/ubhi/19078
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