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Social networks help to bond people who share similar interests all over theworld. As a complement, the Facebook "Like" button is an efficient tool thatbonds people with the online information. People click on the "Like" button toexpress their fondness of a particular piece of information and in turn tend tovisit webpages with high "Like" count. The important fact of the Like count isthat it reflects the number of actual users who "liked" this information.However, according to our study, one can easily exploit the defects of the"Like" button to counterfeit a high "Like" count. We provide a proof-of-conceptimplementation of these exploits, and manage to generate 100 fake Likes in 5minutes with a single account. We also reveal existing counterfeitingtechniques used by some online sellers to achieve unfair advantage forpromoting their products. To address this fake Like problem, we study thevarying patterns of Like count and propose an innovative fake Like detectionmethod based on clustering. To evaluate the effectiveness of our algorithm, wecollect the Like count history of more than 9,000 websites. Our experimentssuccessfully uncover 16 suspicious fake Like buyers that show abnormal Likecount increase patterns.

Does "Like" Really Mean Like? A Study of the Facebook Fake Like Phenomenon and an Efficient Countermeasure