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Spam Detection on Arabic Twitter
2020Twitter has become a popular social media platform in the Arab region. Some users exploit this popularity by posting unwanted advertisements for their own interest. In this paper, we present a large manually annotated dataset of advertisement (Spam) tweets in Arabic. We analyze the characteristics of these tweets that distinguish them from other tweets
Hamdy Mubarak +3 more
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Transductive link spam detection
Proceedings of the 3rd international workshop on Adversarial information retrieval on the web, 2007Web spam can significantly deteriorate the quality of search engines. Early web spamming techniques mainly manipulate page content. Since linkage information is widely used in web search, link-based spamming has also developed. So far, many techniques have been proposed to detect link spam. Those approaches are basically built on link-based web ranking
Dengyong Zhou, Chris Burges, Tao Tao
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Proceedings of the 20th international conference companion on World wide web, 2011
It is well-known that many online reviews are not written by genuine users of products, but by spammers who write fake reviews to promote or demote some target products. Although some existing works have been done to detect fake reviews and individual spammers, to our knowledge, no work has been done on detecting spammer groups.
Arjun Mukherjee +4 more
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It is well-known that many online reviews are not written by genuine users of products, but by spammers who write fake reviews to promote or demote some target products. Although some existing works have been done to detect fake reviews and individual spammers, to our knowledge, no work has been done on detecting spammer groups.
Arjun Mukherjee +4 more
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Image spam analysis and detection
Journal of Computer Virology and Hacking Techniques, 2016Image spam is unsolicited bulk email, where the message is embedded in an image. Spammers use such images to evade text-based filters. In this research, we analyze and compare two methods for detecting spam images. First, we consider principal component analysis (PCA), where we determine eigenvectors corresponding to a set of spam images and compute ...
Annapurna Annadatha, Mark Stamp 0001
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Analyzing and Detecting Review Spam
Seventh IEEE International Conference on Data Mining (ICDM 2007), 2007Mining of opinions from product reviews, forum posts and blogs is an important research topic with many applications. However, existing research has been focused on extraction, classification and summarization of opinions from these sources. An important issue that has not been studied so far is the opinion spam or the trustworthiness of online ...
Nitin Jindal, Bing Liu 0001
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Detecting Spam Accounts on Twitter
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018Social networks have become a popular way for internet surfers to interact with friends and family members, reading news, and also discuss events. Users spend more time on well-known social platforms (e.g., Facebook, Twitter, etc.) storing and sharing their personal information.
Md. Zulfikar Alom +2 more
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Detecting collective attention spam
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality, 2012We examine the problem of collective attention spam, in which spammers target social media where user attention quickly coalesces and then collectively focuses around a phenomenon. Compared to many existing spam types, collective attention spam relies on the users themselves to seek out the content -- like breaking news, viral videos, and popular memes
Kyumin Lee +3 more
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Intelligent Detection Approaches for Spam
Third International Conference on Natural Computation (ICNC 2007), 2007This paper proposes intelligent detection approaches based on incremental support vector machine and artificial immune system for the spam of e-mail stream. In the approaches, a window is used to hold several classifiers each of which classifies the e-mail independently and the label of the e-mail is given by a strategy of majority voting.
Guangchen Ruan, Ying Tan 0002
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Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
Thanks to the rapid advances in Internet technologies in the last decade, there has been an exponential growth in the development and use of a large variety of social media platforms. Today, these online spaces are widely around the world as they enable people to generate content and share their opinions about different topics, products and services ...
Nissrine Bensouda +2 more
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Thanks to the rapid advances in Internet technologies in the last decade, there has been an exponential growth in the development and use of a large variety of social media platforms. Today, these online spaces are widely around the world as they enable people to generate content and share their opinions about different topics, products and services ...
Nissrine Bensouda +2 more
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A social-spam detection framework
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference, 2011Social networks such as Facebook, MySpace, and Twitter have become increasingly important for reaching millions of users. Consequently, spammers are increasing using such networks for propagating spam. Existing filtering techniques such as collaborative filters and behavioral analysis filters are able to significantly reduce spam, each social network ...
De Wang, Danesh Irani, Calton Pu
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