Statistical Twitter Spam Detection Demystified: Performance, Stability and Scalability
نویسندگان
چکیده
منابع مشابه
Sentiment Based Twitter Spam Detection
Spams are becoming a serious threat for the users of online social networks especially for the ones like of twitter. twitter’s structural features make it more volatile to spam attacks. In this paper, we propose a spam detection approach for twitter based on sentimental features. We perform our experiments on a data collection of 29K tweets with 1K tweets for 29 trending topics of 2012 on twitt...
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Social networking sites have become very popular in recent years. Users use them to find new friends, updates their existing friends with their latest thoughts and activities. Among these sites, Twitter is the fastest growing site. Its popularity also attracts many spammers to infiltrate legitimate users’ accounts with a large amount of spam messages. In this paper, we discuss some userbased an...
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Spam detections fall into two categories: rule-based and statistical-based. The former refers to the detection which is performed by looking for spam-liked patterns in an email. Since the rules can be shared, they have been popularized quickly. The rules, however, are built manually it is hard to keep them up with the variation of spam. The statistical-based method, on the other hand, is possib...
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Twitter is one of the most popular social media platforms that has 313 million monthly active users which post 500 million tweets per day. This popularity attracts the attention of spammers who use Twitter for their malicious aims such as phishing legitimate users or spreading malicious software and advertises through URLs shared within tweets, aggressively follow/unfollow legitimate users and ...
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Social medias are increasing their influence with the vast public information leading to their active use for marketing by the companies and organizations. Such marketing promotions are difficult to identify unlike the traditional medias like TV and newspaper. So, it is very much important to identify the promoters in the social media. Although, there are active ongoing researches, existing app...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2017
ISSN: 2169-3536
DOI: 10.1109/access.2017.2710540