Uncovering social spammers: Social honeypots + machine learning

SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2010, Pages 435-442

  Lee, Kyumin ^a   Caverlee, James ^a   Webb, Steve ^b  

^a Texas AandM University   (United States)

^b Georgia Institute of Technology   (United States)

Author keywords

Social honeypots; Social media; Spam

Indexed keywords

COMMUNITY VALUES; CONCEPTUAL FRAMEWORKS; DESIGN CONSIDERATIONS; FALSE POSITIVE; FALSE POSITIVE RATES; HIGH PRECISION; HONEYPOTS; KEY COMPONENT; LOW RATES; MACHINE-LEARNING; MALWARES; PROFILE FEATURES; SOCIAL MEDIA; SOCIAL NETWORKING; SOCIAL SYSTEMS; SPAM; SPAMMERS; STATISTICAL ANALYSIS;

CLASSIFIERS; COMPUTER CRIME; HARVESTING; INFORMATION RETRIEVAL; INTERNET; LEARNING SYSTEMS; ONLINE SYSTEMS;

SOCIAL NETWORKING (ONLINE);

EID: 77956044597     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835449.1835522     Document Type: Conference Paper

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