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Re:Twitter spam wave by lugg on Friday April 04, 2014 @01:58AM (#7529573)
Could you not identify higher than normal viral scores and run some automatic checks on the links content to look for dodgy behavior (ie executing like / share links?) That would still end up with you being in a cat and mouse game of obscuring dodgyness but its a start.

Have you guys looked into sharing likelihoods of affected users? In other words I rarely share stuff I click on. If a higher than normal number of high view - low sharers like myself are sharing its either extremely popular or its spam. (Worth flagging for a manual check)

Re:Twitter spam wave by mkjones on Friday April 04, 2014 @01:40PM (#7533006)
Yep, "URLs shared primarily by not-sharey people" sounds similar to a lot of classifiers we have.
Re:Twitter spam wave by lugg on Friday April 04, 2014 @11:05PM (#7535805)
Your job sounds pretty fun I must say.