10 Graphs Reveal Web Spam Patterns
Table of Contents
They say a picture is worth a 1,000 words. So here's 10,000 words of web spam data from a research paper titled Detecting Spam Web Pages through Content Analysis by Alexandros Ntoulas et. al.
Note: The pink line represents the probability of spam.
1. Top Level Domain
Relatively speaking, there is more spam on .biz domains than on other domains.
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2. Language
And apparently spam is quite popular with the French.
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3. Compression Ratio
Repeated (e.g. keyword stuffing) words generally lead to better compression rates.
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4. Visible Content
Not to be confused with hidden content, visible content in this context basically refers to the code to text ratio. Guess what? A page with a higher ratio of code is actually less likely to be spam.
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5. Number of Words
Longer documents are more likely to be spam.
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6. Average Word Length
Long words, generally formed by combining other words such as freemp3, result in an above average word length.
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7. Number of Words in Title
This one shouldn't surprise anyone. Stuffing the keyword title is common with spammers.
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8. Words in Anchor Text
Too large a proportion of text in link text is a good indicator for web spam.
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9 & 10. Most Frequent Words in Corpus Common with Text
The fraction of words on a page that are contained in the set of 200 or 500 words that occur most frequently in the English portion of the research paper author's 105 million document corpus.
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