Using naive bayes to detect spammy names in social networks

Abstract

Many social networks are predicated on the assumption that a member's online information reflects his or her real identity. In such networks, members who fill their name fields with fictitious identities, company names, phone numbers, or just gibberish are violating the terms of service, polluting search results, and degrading the value of the site to real members. Finding and removing these accounts on the basis of their spammy names can both improve the site experience for real members and prevent further abusive activity.