Search engine How to identify spam messages

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When it comes to bloggers who hate spam messages. Today we'll talk about how search engines can identify spam messages.

In point Stone Forum saw too many posts to discuss the blog message mass software and a variety of experience. Many people think that many sites rely on blog spam to improve the rankings, the effect is good, the site has not been punished. But there are two points to consider:

1 We see a lot of spam is not necessarily the reason for the site rankings. In order to reduce manslaughter, search engines usually ignore spam messages, and do not directly punish the site leaving spam, otherwise it is too dangerous, it is easy to be used to set up rival websites. The rankings of these sites are probably not what we found, such as some very powerful external links.

2 not punishing now does not necessarily mean that it will not be punished later. Said the punishment is not accurate, accurate said when the search engine found these spam messages, remove the weight of these spam links and voting power, so that the site rankings fall, seems to be punishment, but in fact just make the site rankings back to where it should be.

How do search engines judge spam messages? There may be the following methods.

Look at the time relationship of the message. For example, the same blog within a few seconds, in different posts appear on the same site message link, this is certainly not normal. or spam links to the same site, appearing on multiple blogs at almost the same time. This is not visible to individual bloggers, but it's easy to detect for search engines.

Does the message contain a URL? is the URL just text or is it made into a hyperlink? Some spam message software or leave the spam message of the person ambition is bigger, not satisfied with leaving the signature, still leave the URL in the message content. In the filtered spam message, I often see a few pages of rubbish. This spam message, I think the stupid search engine can also be judged.

Message length. A lot of spam messages tend to just say, good articles, good words, top things. This short and meaningless remark increases the likelihood of suspicion.

Blacklisted IP and Web sites. As the previous post said, anti-spam software collects spam sites and IP addresses. Once the blacklist is on, it is filtered out directly. I believe that search engines have similar databases.

Blog posts how old and the latest message. If the blog post is already two years ago, and 1.5 no new messages, a sudden out of a message, this is somewhat suspicious.

Message relevance. Search engine can through semantic analysis, judge whether the message and blog posts have a certain relevance. Mass software leaves the rubbish, usually is meaningless, place is related, also not relevant words.

Multiple blog message mode. Mass software will be sent to a large number of blog spam, and leave the domain name and message content are the same or similar, this model will certainly arouse suspicion.

The speed at which the junk link appears. Unlike real readers leaving meaningful messages, mass software is a quick way to leave a lot of links, and search engines can detect this.

The spam features listed above, some of which have certainly been used by anti-spam software and search engines, are not necessarily all. There must be other factors that we can't imagine, but the search engine thought of. Search engines are always smarter than us.

If a person makes a software that avoids all the possible suspicions that are mentioned above, you are a master.