Amanda Langer, M.A.

Office:
University of Siegen
Faculty III
BMBF junior research group KONTIKAT
Campus Unteres Schloss
Kohlbettstr. 15
Room US-G 003
57072 Siegen, Germany

Phone: +49 (0) 271/ 740 – 2013

E-mail: amanda.langer(at)uni-siegen.de

Office hours: On appointment

 

Vita

Amanda Langer studied media sciences in Siegen with the supplement media management and is a research assistant in the KONTIKAT research group at the Institute for Information Systems at the University of Siegen. In the research-oriented Master’s programme Media Culture her focus was on the research of digital media phenomena through qualitative research methods.

During her studies, she supported the infrastructure project of the Collaborative Research Center Media of Cooperation in an interdisciplinary research environment with qualitative research methods as a student assistant.

 

Publications

2019

Thea Riebe, Amanda Langer, Marc-André Kaufhold, Nina Katharina Kretschmer, Christian Reuter (2019) Werte und Wertekonflikte in sozialen Medien für die Vernetzung ungebundener Helfer in Krisensituationen – Ein Value-Sensitive Design Ansatz, Mensch und Computer 2019 - Workshopband, p. 308-318, Hamburg, Germany: Gesellschaft für Informatik e.V., pdf, doi:10.18420/muc2019-ws-133-05

Amanda Langer, Marc-André Kaufhold, Elena Runft, Christian Reuter, Margarita Grinko, Volkmar Pipek (2019) Counter Narratives in Social Media: An Empirical Study on Combat and Prevention of Terrorism, Proceedings of the Information Systems for Crisis Response and Management (ISCRAM), Zeno Franco, José J. González, José H. Canós (ed.), p. 746-755, València, Spain: ISCRAM Association, pdf

Marc-André Kaufhold, Margarita Grinko, Christian Reuter, Marén Schorch, Amanda Langer, Sascha Skudelny, Matthias Hollick (2019) Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland, Proceedings of the International Conference on Wirtschaftsinformatik (WI), p. 1054-1068, Siegen, Germany: AIS, pdf