Abstract
Forum comments are valuable information for enterprises to discover public preferences and market trends. However, extensive marketing and malicious attack behaviors in forums are always an obstacle for enterprises to make effective use of this information. And these forum spammers are constantly updating technology to prevent detection. Therefore, how to accurately recognize forum spammers has become an important issue. Aiming to accurately recognize forum spammers, this paper changes the research target from understanding abnormal reviews and the suspicious relationship among forum spammers to discover how they must behave (follow or be followed) to achieve their monetary goals. First, we classify forum spammers into automated forum spammers and marketing forum spammers based on different behavioral features. Then, we propose a support vector machine-based automated spammer recognition (ASR) model and a k-means clustering-based marketing spammer recognition (MSR) model. The experimental results on the real-world labelled dataset illustrate the effectiveness of our methods on classification spammer from common users. To the best of our knowledge, this work is among the first to construct behavior-driven recognition models according to the different behavioral patterns of forum spammers.
Highlights
In recent years, with the background of social media, forums have become a specific community for users who have the same interests
Forum spammers are constantly updating their technology or changing their posting methods to prevent them from being detected by the fake reviews recognition system, which makes many methods no longer useful for recognizing forum spammers
The forum spammers try to disguise themselves as ordinary users, this purposeful posting will eventually show different behaviors from ordinary users
Summary
With the background of social media, forums have become a specific community for users who have the same interests. Forum spammers are constantly updating their technology or changing their posting methods to prevent them from being detected by the fake reviews recognition system, which makes many methods no longer useful for recognizing forum spammers. We classify forum users as automated spammers, marketing spammers, and normal users according to the different behavior patterns of forum users. Automated spammers mislead forum users by posting reviews with a biased emotional tendency. In contrast to automated spammers, marketing spammers disguise themselves as leading users in forums to promote related products. En, we propose a behavior-driven automated spammer recognition (ASR) model and a marketing spammer recognition (MSR) model to recognize forum spammers based on the above three types of forum users.
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