Content Trust Model for Detecting Web Spam

Abstract

Abstract. As it gets easier to add information to the web via html pages, wikis, blogs, and other documents, it gets tougher to distinguish accurate or trustworthy information from inaccurate or untrustworthy information. Moreover, apart from inaccurate or untrustworthy information, we also need to anticipate web spam -where spammers publish false facts and scams to deliberately mislead users. Creating an effective spam detection method is a challenge. In this paper, we use the notion of content trust for spam detection, and regard it as a ranking problem. Evidence is utilized to define the feature of spam web pages, and machine learning techniques are employed to combine the evidence to create a highly efficient and reasonably-accurate spam detection algorithm. Experiments on real web data are carried out, which show the proposed method performs very well in practice.

Content-based analysis to detect Arabic web spam

“…The conducted tests proved the effectiveness of their proposed model. Wang and Zeng’s [7] study overlaps with the studies conducted by Wang et al [6, 8], which are also related to the content trust model for spam detection. Evaluation of the proposed model has yielded good results on the crawled datasets used.…”

“…Web spamming usually annoys search engine users, and harm the credibility of web search engines. Therefore the search engine may lose a substantial proportion of its users, and search engine users may fail to get the relevant answers (web pages), since these receive a low rank while the spam web pages get a high rank [4–8], and most search engine users usually do not view more than the top 10 results.…”

Trust Management Models for Digital Identities

“…The Content Trust Model for Spam Detection is based on evidence for detecting spam on websites. Wang and Zeng (2007) explored a set of salient evidences, which can help to identify the spam. Some of these evidences are independent of the language a page is written in, others use language-dependent statistical properties.…”

“…Some of these evidences are independent of the language a page is written in, others use language-dependent statistical properties. The content trust model has been shown in Figure 2 ( Wang and Zeng, 2007).…”