Detecting spammers on social networks
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Cites methods from "Detecting spammers on social networ..."
...Finally, we demonstrate Monarch’s scalability, showing our system could protect a service such as Twitter— which needs to process 15 million URLs/day—for a bit under $800/day....
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Cites background from "Detecting spammers on social networ..."
...[37] analyze to what extent spam has entered OSNs, and how spammers who target these OSNs operate....
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...Recently, many techniques have been proposed that aim to automatically identify spambots in OSNs based on their abnormal behavior [31, 16, 37]....
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References
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79,257 citations
"Detecting spammers on social networ..." refers methods in this paper
...We used the Weka framework [7] with a Random Forest algorithm [11] for our classifier....
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Additional excerpts
...[18] ran an experiment on Twitter spam....
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