BelElect: A New Dataset for Bias Research from a ”Dark” Platform

Reference : BelElect: A New Dataset for Bias Research from a ”Dark” Platform


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/52563

Title :	BelElect: A New Dataset for Bias Research from a ”Dark” Platform
Language :	English
Author, co-author :	Hoehn, Sviatlana [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Mauw >]
	Mauw, Sjouke [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Asher, Nicholas [IRIT, France]
Publication date :	2022
Main document title :	Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media
Publisher :	AAAI
Peer reviewed :	Yes
Audience :	International
Event name :	AAAI International Conference on Web and Social Media
Event date :	June 6-9, 2022
Event organizer :	AAAI
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/52563
Other URL :	https://ojs.aaai.org/index.php/ICWSM/issue/view/492
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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	File	Commentary	Version	Size	Access
Open access	ICWSM_data_paper_BelElect.pdf		Publisher postprint	1.06 MB	View/Open

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