Who are the spoilers in social media marketing? Incremental learning of latent semantics for social spam detection Song, Long, Lau, Raymond Yiu Keung, Kwok, Ron Chi-Wai, Mirkovski, Kristijan and Dou, Wenyu 2017, Who are the spoilers in social media marketing? Incremental learning of latent semantics for social spam detection, Electronic commerce research, vol. 17, no. 1, pp. 51-81, doi: 10.1007/s10660-016-9244-5. Attached Files Name Description MIMEType Size Downloads Title Who are the spoilers in social media marketing? Incremental learning of latent semantics for social spam detection Author(s) Song, Long Lau, Raymond Yiu Keung Kwok, Ron Chi-Wai Mirkovski, Kristijan orcid.org/0000-0003-1513-6237 Dou, Wenyu Journal name Electronic commerce research Volume number 17 Issue number 1 Start page 51 End page 81 Total pages 31 Publisher Springer Place of publication New York, N.Y. Publication date 2017-03 ISSN 1389-5753 1572-9362 Keyword(s) social spam spam detection topic modeling incremental learning machine learning big data Language eng DOI 10.1007/s10660-016-9244-5 Field of Research 0806 Information Systems 1505 Marketing HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, Springer Science+Business Media New York Persistent URL http://hdl.handle.net/10536/DRO/DU:30106917 Document type: Journal Article Collections: Faculty of Business and Law Department of Information Systems and Business Analytics Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 16 Mar 2018, 13:36:04 EST Sat, 17 Mar 2018, 04:01:43 EST Sat, 17 Mar 2018, 05:07:59 EST Tue, 20 Mar 2018, 10:12:51 EST Tue, 20 Mar 2018, 10:14:47 EST Tue, 20 Mar 2018, 10:15:43 EST Filtered Full Citation counts:   Cited 11 times in TR Web of Science Cited 12 times in Scopus Search Google Scholar Access Statistics: 232 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Fri, 16 Mar 2018, 13:36:04 EST

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