“喜欢”真的是“喜欢”吗？Facebook虚假点赞现象研究及有效对策
Does "Like" Really Mean Like? A Study of the Facebook Fake Like Phenomenon and an Efficient Countermeasure
摘要：
社交网络有助于将世界各地有着相似兴趣的人联系在一起。作为补充，Facebook的“喜欢”按钮是一个有效的工具，将人们与在线信息联系在一起。人们点击“喜欢”按钮来表达他们对某条信息的喜爱，反过来又倾向于访问具有高“喜欢”计数的网页。Like计数的重要事实是，它反映了“喜欢”此信息的实际用户数量。然而，根据我们的研究，人们可以很容易地利用“喜欢”按钮的缺陷来伪造高“喜欢”计数。我们提供了这些漏洞的概念验证实现，并设法在5分钟内用一个帐户生成100个假赞。我们还揭示了一些在线卖家使用的现有假冒技术，以实现推广其产品的不公平优势。为了解决这个假喜欢的问题，我们研究了不同模式的喜欢计数，并提出了一种创新的假喜欢检测方法的基础上聚类。为了评估我们算法的有效性，我们收集了9,000多个网站的Like计数历史。我们的实验成功地发现了16个可疑的假喜欢买家，显示出异常的喜欢计数增加模式。
英文摘要：
Social networks help to bond people who share similar interests all over the world. As a complement, the Facebook "Like" button is an efficient tool that bonds people with the online information. People click on the "Like" button to express their fondness of a particular piece of information and in turn tend to visit webpages with high "Like" count. The important fact of the Like count is that 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-concept implementation of these exploits, and manage to generate 100 fake Likes in 5 minutes with a single account. We also reveal existing counterfeiting techniques used by some online sellers to achieve unfair advantage for promoting their products. To address this fake Like problem, we study the varying patterns of Like count and propose an innovative fake Like detection method based on clustering. To evaluate the effectiveness of our algorithm, we collect the Like count history of more than 9,000 websites. Our experiments successfully uncover 16 suspicious fake Like buyers that show abnormal Like count increase patterns.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
