Analysis and identification of spamming behaviors in Sina Weibo Microblog

Chengfeng Lin, Jianhua He, Yi Zhou, Xiaokang Yang, Kai Chen, Li Song

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    31 Citations (Scopus)


    Spamming has been a widespread problem for social networks. In recent years there is an increasing interest in the analysis of anti-spamming for microblogs, such as Twitter. In this paper we present a systematic research on the analysis of spamming in Sina Weibo platform, which is currently a dominant microblogging service provider in China. Our research objectives are to understand the specific spamming behaviors in Sina Weibo and find approaches to identify and block spammers in Sina Weibo based on spamming behavior classifiers. To start with the analysis of spamming behaviors we devise several effective methods to collect a large set of spammer samples, including uses of proactive honeypots and crawlers, keywords based searching and buying spammer samples directly from online merchants. We processed the database associated with these spammer samples and interestingly we found three representative spamming behaviors: Aggressive advertising, repeated duplicate reposting and aggressive following. We extract various features and compare the behaviors of spammers and legitimate users with regard to these features. It is found that spamming behaviors and normal behaviors have distinct characteristics. Based on these findings we design an automatic online spammer identification system. Through tests with real data it is demonstrated that the system can effectively detect the spamming behaviors and identify spammers in Sina Weibo.

    Original languageEnglish
    Title of host publicationProceedings of the 7th Workshop on Social Network Mining and Analysis, SNA-KDD 2013
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    ISBN (Print)9781450323307
    Publication statusPublished - 2013
    Event7th Workshop on Social Network Mining and Analysis, SNA-KDD 2013 - Chicago, IL, United States
    Duration: 11 Aug 201314 Aug 2013


    Conference7th Workshop on Social Network Mining and Analysis, SNA-KDD 2013
    Country/TerritoryUnited States
    CityChicago, IL


    • Automatic spammer identification
    • Crawlers
    • Proactive honeypots
    • Sina Weibo
    • Spamming behaviors


    Dive into the research topics of 'Analysis and identification of spamming behaviors in Sina Weibo Microblog'. Together they form a unique fingerprint.

    Cite this