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Understanding Content Bias: Qualitative research supports computational methods
Hoehn, Sviatlana; Lewandowska-Tomaszczyk, Barbara; Mauw, Sjouke et al.
2022 • 2nd International Conference 'Language in the Human-Machine Era'
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https://hdl.handle.net/10993/53571
 

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Disciplines :
Computer science
Author, co-author :
Hoehn, Sviatlana ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Mauw
Lewandowska-Tomaszczyk, Barbara;  University of Applied Sciences in Konin
Mauw, Sjouke ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Gabbay, Dov;  King's College London > Department of Informatics
External co-authors :
yes
Language :
English
Title :
Understanding Content Bias: Qualitative research supports computational methods
Publication date :
01 July 2022
Event name :
2nd International Conference 'Language in the Human-Machine Era'
Event organizer :
University of Jyväskylä
Event place :
Jyväskylä, Finland
Event date :
From 30-06-2022 to 1-07-2022
Audience :
International
Focus Area :
Computational Sciences
FnR Project :
FNR13320890 - Spin And Bias In Language Analyzed In News And Text, 2018 (01/03/2020-31/08/2023) - Sjouke Mauw
Available on ORBilu :
since 10 January 2023

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