Article Spinning is a search engine optimization technique with the purpose of automatically generating new unique content from existing content. Software that is offered for the generation of content is referred to as article spinner.
Article spinning works by rewriting an article in full or parts thereof. The text is not altered in terms of its topic, but rather the words exchanged in such a way that the text no longer resembles the original.
Article spinning can be done manually. In this case the author bases his new text on an existing one. Manual article spinning is often used to “recycle” content when an existing text is needed for different purposes or to address different reader groups, e.g. when a press release is rewritten into a blog post. Usually the general tone and the structure of the text will be changed.
There are a number of software solutions that automatically replace words or phrases in the existing text. Such programs get their data from large databases with several hundred thousand entries and use synonyms, for example, to write the same text with different wording. Modern software can apply modern computer techniques such as machine learning in addition to using large databases. Depending on the sophistication of the software, automatic rewriting can still lead to undesirable results even today. The meaning of a sentence may end up being modified under certain circumstances through the use of similar words. For example, the word “image” could be replaced with the word “photo” or the software does not recognize the correct meaning of the word “bank” from the context.
Extensive spinning tools not only work on the transformation of texts, but also take into account current methods such as TF*IDF analysis and use features that enable you to search for plagiarism. This is intended to prevent “spun” text resulting in negative consequences for the site on which they are published after they are created.
Article spinning is based on the markup language Spintax. This markup language is similar to HTML and supports the spinning of texts. Based on this language, article spinning software can create new versions of existing text.
Duplication of web content may violate copyright laws in many countries, therefore it is not recommended to spin the content of other authors, since it may result in legal consequences. When creating spin texts of your own content there are no legal restrictions, nevertheless, it is questionable from an SEO point of view, whether spun texts will make sense. Such content does not really constitute added value for users.
While in the past it was still possible to rank well with spun articles in the search engine results, it is getting more difficult for SEOs to achieve these goals with re-written content. Because of algorithmic improvements, the Google search engine can now detect spun texts very well and declare the content to be spam that violates the Google webmaster guidelines. You can assume that Google is at the cutting edge at all times when it comes to the recognition of article spinning or similar techniques. So the search engine company can determine whether an article is a converted version of an existing content. It is likely that the Gibberish score is one way to identify text spinning. Regardless of how Google determines the content, it definitely takes action against websites with spun articles and may exclude it from the search engine index. Webmasters or SEOs, who still use this technique to achieve good rankings should be advised that their efforts will be unsuccessful. Customers who are offered such techniques to improve rankings should refuse it.