IEEE - Institute of Electrical and Electronics Engineers, Inc. - CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

Author(s): Courtland VanDam ; Pang-Ning Tan ; Jiliang Tang ; Hamid Karimi
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2018
Conference Location: Barcelona, Spain
Conference Date: 28 August 2018
Page(s): 471 - 478
ISBN (Electronic): 978-1-5386-6051-5
ISSN (Electronic): 2473-991X
DOI: 10.1109/ASONAM.2018.8508654
Regular:

Social media has become a valuable tool for hackers to disseminate misleading content through compromised accounts. Detecting compromised accounts, however, is challenging due to the noisy nature... View More

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