Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems

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Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems ( online-social-networks-measurement-analysis-and-applications )

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53 the origin of unwanted communication. Second, the global nature of the Internet makes it easy for spammers to operate from a location where they face little or no risk of prosecution. 3.4.4 Content rating Finally, a few proposals have looked at detecting unwanted communication in one- to-many communication systems (unlike one-to-one communication systems that we have discussed before). Many content-sharing sites (e.g., YouTube [167]) use content rating. Users can indicate the level of interest, relevance, and appropriateness of a content item they have viewed. The content is then tagged with the aggregated user ratings. Content ratings can help users to identify relevant content and avoid unwanted content. These ratings can also help system administrators to identify po- tentially inappropriate content, which they can then inspect and possibly remove. Moreover, content-rating systems can be manipulated, particularly in a system where new user identities can be created without significant cost. A recent proposal has looked at limiting the impact of multiple identities in the context of content rat- ing [151], but has not been evaluating in a real-world system as of this writing. 3.4.5 Leveraging relationships As Ostra uses the difficulty of establishing and maintaining links between users in a social network, we now briefly describe other work which leverages social network relationships. Trust between participating users has been used to replace certain

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