Google Patents Guilt-By-Association

theodp writes "Guilt by association is defined as the attribution of guilt (without proof) to individuals because the people they associate with are guilty. It's also at the heart of U.S. Patent No. 8,306,922, which was awarded to Google on Tuesday for Detecting Content on a Social Network Using Links, the invention of three Googlers. In its patent application, Google argues that if an individual posts content to social networks such as Facebook, MySpace, Orkut, Twitter, LinkedIn, YouTube, etc. 'that is illegal (e.g., content violating copyright law, content violating penal statutes, etc.), inappropriate for minors (e.g., pornography, "R" or "NC-17" rated videos, adult content, etc.), in contravention of an end user licensing agreement (EULA), etc.', then their friends 'may be likely to post content to their profile pages related to similar topics.' Google further explains: 'For instance, a first user and a second user that are designated as friends on a social network may be friends based upon a set of common interests (e.g., the first user and the second user are both interested in tennis). If the first user adds content to its profile page that is related to sports, then the friendship (link) between the first user and the second user can indicate that the profile page of the second user is likely to contain content related to sports as well.' By extension, the same holds true for porn, pirated videos and music, etc., right? So, would you feel comfortable being judged by the online company you keep?"

Comments

Re:Statistics

[Dachannien]

No, actually, they patented this:

A computer-implemented method comprising:

receiving at a first server system information related to users of a social network site hosted on a second server system;

determining by the first server system a social network graph for at least a portion of the social network from the received information, the graph comprising a plurality of nodes connected by links, each node corresponding to a user that is registered with the social network and that has a profile page on the social network;

identifying first nodes from the plurality of nodes as including content associated with a particular subject of interest;

seeding the identified first nodes with first scores that indicate profile pages for the identified first nodes are positively identified as including content associated with the particular subject of interest;

determining second scores for second nodes of the plurality of nodes based on propagation of the first scores from the first nodes to the second nodes using the links of the social network graph, where:

          each of the determined second scores corresponding to a second node indicates a likelihood that a profile page for the second node contains content associated with the particular subject of interest,
          a particular second score for a particular second node is determined based on a combination of scores for neighboring nodes that are connected to the particular second node by one or more of the links, and
          a particular profile page that is associated with the particular second node is determined to have at least a threshold likelihood of containing content that is associated with the particular subject of interest when at least a portion of the scores for the neighboring nodes exceed a threshold score; and

providing by the first server system the determined second scores for the second nodes.

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