Mining User Comment Activity for Detecting Forum Spammers in YouTube
Abstract
Research shows that comment spamming (comments which are unsolicited, unrelated, abusive, hateful, commercial advertisements etc) in online discussion forums has become a common phenomenon in Web 2.0 applications and there is a strong need to counter or combat comment spamming. We present a method to automatically detect comment spammer in YouTube (largest and a popular video sharing website) forums. The proposed technique is based on mining comment activity log of a user and extracting patterns (such as time interval between subsequent comments, presence of exactly same comment across multiple unrelated videos) indicating spam behavior. We perform empirical analysis on data crawled from YouTube and demonstrate that the proposed method is effective for the task of comment spammer detection.
Cite
@article{arxiv.1103.5044,
title = {Mining User Comment Activity for Detecting Forum Spammers in YouTube},
author = {Ashish Sureka},
journal= {arXiv preprint arXiv:1103.5044},
year = {2011}
}
Comments
1st International Workshop on Usage Analysis and the Web of Data (USEWOD2011) in the 20th International World Wide Web Conference (WWW2011), Hyderabad, India, March 28th, 2011