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Research shows that comment spamming (comments which are unsolicited,unrelated, abusive, hateful, commercial advertisements etc) in onlinediscussion forums has become a common phenomenon in Web 2.0 applications andthere is a strong need to counter or combat comment spamming. We present amethod to automatically detect comment spammer in YouTube (largest and apopular video sharing website) forums. The proposed technique is based onmining comment activity log of a user and extracting patterns (such as timeinterval between subsequent comments, presence of exactly same comment acrossmultiple unrelated videos) indicating spam behavior. We perform empiricalanalysis on data crawled from YouTube and demonstrate that the proposed methodis effective for the task of comment spammer detection.

Mining User Comment Activity for Detecting Forum Spammers in YouTube