Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Adversarial information retrieval is a topic in information retrieval that addresses tasks such as gathering, indexing, filtering, retrieving and ranking information from collections wherein a subset has been manipulated maliciously. Adversarial IR includes the study of methods to detect, isolate, and defeat such manipulation. On the Web, the predominant form of such manipulation is search engine spamming, including techniques that are employed to disrupt the activity of web search engines, usually for financial gain. Examples of spamdexing are link-bombing, comment or referrer spam, spam blogs, malicious tagging, reverse engineering of ranking algorithms, advertisement blocking, and web content filtering . The name stems from the fact that there are two sides with opposing goals. For instance, the relationship between the owner of a Web site trying to rank high on a search engine and the search engine administrator is an adversarial relationship in a zero-sum game. Every undeserved gain in ranking by the web site is a loss of precision for the search engine.

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