Multimodale Netzwerke

Minority languages in multimodal networks

Description

The sub-project investigates the hypothesis that the self-perception or perception of others by minorities is positionally determined by role assignments in social networks and can be reconstructed on the basis of (the networking of) linguistic manifestations. Based on this sociolinguistic question, the project develops a model of information processing in multimodal networks, in which the linguistic level, the level of topographical objects and their relations, the level of thematic references (to religious and cultural concepts) and the social level are differentiated. The aim is to use the analysis of web corpora to develop and test models for the linguistic manifestation of the self-perception and external perception of minorities and the majorities they face.

Publications

  • Giuseppe Abrami, Alexander Mehler, Mevlut Bagci, Patrick Schrottenbacher, Alexander Henlein, Christian Spiekermann, Juliane Engel and Jakob Schreiber. 2023. Va.Si.Li-Lab as a Collaborative Multi-User Annotation Tool in Virtual Reality and Its Potential Fields of Application. Proceedings of the 34th ACM Conference on Hypertext and Social Media.
  • Alexander Mehler, Mevlut Bagci, Alexander Henlein, Giuseppe Abrami, Christian Spiekermann, Patrick Schrottenbacher, Maxim Konca, Andy Lücking, Juliane Engel, Marc Quintino, Jokob Schreiber, Kevin Saukel and Olga Zlatkin-Troitschankaia. 2023. A Multimodal Data Model for Simulation-Based Learning with Va.Si.Li-Lab. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, 539–565.
  • Alexander Mehler, Mevlüt Bagci, Alexander Henlein, Giuseppe Abrami, Christian Spiekermann, Patrick Schrottenbacher, Maxim Konca, Andy Lücking, Juliane Engel, Marc Quintino, Jokob Schreiber, Kevin Saukel, Olga Zlatkin-Troitschankaia. 2023. Va.Si.Li-Lab: a VR-based System for Simulation-based Learning. Talk at the Annual Meeting of the Ameri-can Educational Research Association (AREA) 2023, in the context of the Workshops Performance Assessment for University Students’ and Young Professionals’ Critical Dealing With (Online) Information in Different Domains, 2023-04-14, Chicago.
  • Alexander Mehler, Mevlüt Bagci, Giuseppe Abrami, Alexander Henlein, Maxim Konca, Patrick Schrottenbacher and Christian Spiekermann 2023. Va.Si.Li-Lab: a VR-based System for Simulation-based Learning. Poster Presentation at the conference of Minority Studies Language and Identity (LOEWE) 2023, in the confererence of society & identity in diverse ethnolinguistic contexts, 2023-06-09, Frankfurt.
  • Mevlüt Bagci, Alexander Mehler, Maxim Konca, Elmar Schlüter. 2023 Minority Languages in Multimodal Networks. Poster Presentation at the conference of Minority Studies Language and Identity (LOEWE) 2023, in the confererence of society & identity in diverse ethnolinguistic contexts, 2023-06-09, Frankfurt.
  • Mehler, Alexander, Wahed Hemati, Pascal Welke, Maxim Konca, Tolga Uslu (2020).Multiple Texts as a Limiting Factor in Online Learning: Quantifying (Dis-)similarities of Knowledge Networks across Languages. https://arxiv.org/abs/2008.02047
  • Mehler, Alexander (2008). “Structural Similarities of Complex Networks: A Computational Model by Example of Wiki Graphs”. In: Applied Artificial Intelligence 22.7&8, S. 619–683. doi: 10.1080/08839510802164085.
  • Mehler, Alexander, Olga Abramov und Nils Diewald (2011). “Geography of Social Ontologies: Testing a Variant of the Sapir-Whorf Hypothesis in the Context of Wikipedia”. In: Computer Speech and Language 25.3, S. 716–740. doi:10.1016/j.csl.2010.05.006.
  • Mehler, Alexander, Rüdiger Gleim, Tim vor der Brück, Wahed Hemati, Tolga Uslu und Steffen Eger (2016). “Wikidition: Automatic Lexiconization and Linkification of Text Corpora”. In: Information Technology 58, S. 70–79. doi:10.1515/itit-2015-0035.
  • Mehler, Alexander, Rüdiger Gleim, Regina Gaitsch, Tolga Uslu und Wahed Hemati (2019). “From Topic Networks to Distributed Cognitive Maps: Zipfian Topic Universes in the Area of Volunteered Geographic Information”. In: Complexity 2020(4):1-47 (Special issue on Cognitive Network Science: A New Frontier).
  • Mehler, Alexander, Rüdiger Gleim, Andy Lücking, Tolga Uslu und Christian Stegbauer (2018). “On the Self-similarity of Wikipedia Talks: a Combined Discourse-analytical and Quantitative Approach”. In: Glottometrics 40, S. 1–44.
  • Mehler, Alexander, Andy Lücking und Peter Menke (2012). “Assessing Cognitive Alignment in Different Types of Dialog by means of a Network Model”. In: Neural Networks 32, S. 159–164. doi: 10.1016/j.neunet.2012.02.013.
  • Mehler, Alexander, Andy Lücking und Petra Weiß (2010). “A Network Model of Interpersonal Alignment”. In: Entropy 12.6, S. 1440–1483. doi: 10.3390/e12061440.
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