Riding the wave of misclassification : how we end up with extreme youtube content

Stöcker, Christian; Preuss, Mike

doi:10.1007/978-3-030-49570-1_25

Publisher DOI:	10.1007/978-3-030-49570-1_25
Title:	Riding the wave of misclassification : how we end up with extreme youtube content
Language:	English
Authors:	Stöcker, Christian Preuss, Mike
Editor:	Meiselwitz, Gabriele H.
Keywords:	Contextually inappropriate content; Recommender systems; Simulation; YouTube
Issue Date:	10-Jul-2020
Publisher:	Springer
Book title:	Social computing and social media ; part 1: Design, ethics, user behavior, and social network analysis
Journal or Series Name:	Lecture notes in computer science
Volume:	12194
Startpage:	359
Endpage:	375
Conference:	International Conference on Human-Computer Interaction 2020 International Conference on Social Computing and Social Media 2020
URI:	http://hdl.handle.net/20.500.12738/10013
ISBN:	9783030495695 978-3-030-49570-1
ISSN:	0302-9743
Review status:	This version was peer reviewed (peer review)
Institute:	Department Information Fakultät Design, Medien und Information
Type:	Chapter/Article (Proceedings)
Appears in Collections:	Publications without full text