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An analysis of 14 Million tweets on hashtag-oriented spamming*
2017
Journal of the Association for Information Science and Technology
Over the years, Twitter has become a popular platform for information dissemination and information gathering. However, the popularity of Twitter has attracted not only legitimate users but also spammers who exploit social graphs, popular keywords, and hashtags for malicious purposes. In this paper, we present a detailed analysis of the HSpam14 dataset, which contains 14 million tweets with spam and ham (i.e., non-spam) labels, to understand spamming activities on Twitter. The primary focus of
doi:10.1002/asi.23836
fatcat:ihcrmf4onjhwvpnimfg2vsglr4