Reducing Photo-Tagging Spam

摘要

A photo spam detector detects illegitimate non-natively captured images through extracting image features and feeding the extracted features into a probabilistic model. The probabilistic model categorizes the photo as legitimate or illegitimate. Requests to tag one or more users in a photo are analyzed by a tag analyzer that assesses relationships between the tag requests themselves, social relationships between the tagged users, and the presence or absence of faces within the regions specified by the tag requests. Based on the classification of images or tags as illegitimate, a social networking system applies one or more social media distribution policies to the image or tags to suppress or prohibit distribution.

主权项

1. A method comprising, by one or more computing systems:
receiving a plurality of requests to tag a plurality of respective users in an image; processing the plurality of requests to determine a relationship between two or more of the requests; determining a probability that the two or more requests are illegitimate tags based on the determined relationship; comparing the determined probability to a predetermined threshold to determine that the determined probability is greater than the predetermined threshold; and applying one or more distribution policies to the two or more requests based on the determined probability being greater than the predetermined threshold.