Understanding Content Bias: Qualitative research supports computational methods

Reference : Understanding Content Bias: Qualitative research supports computational methods


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/53571

Title :	Understanding Content Bias: Qualitative research supports computational methods
Language :	English
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]
Publication date :	1-Jul-2022
Peer reviewed :	Yes
Audience :	International
Event name :	2nd International Conference 'Language in the Human-Machine Era'
Event date :	From 30-06-2022 to 1-07-2022
Event organizer :	University of Jyväskylä
Event place (city) :	Jyväskylä
Event country :	Finland
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/53571
FnR project :	FnR ; FNR13320890 > Sjouke Mauw > SLANT > Spin And Bias In Language Analyzed In News And Text > 01/03/2020 > 31/08/2023 > 2018

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