How do search engines identify spam messages

recently saw too many posts talking about blogging, mass mailing software, and a variety of experiences. Message group software, there are two points to consider:

1) a lot of spam messages we see are not necessarily the reason for rankings. In order to reduce manslaughter, usually ignore the search engine spam, but not directly punish leave spam sites, or too dangerous, it is easy to be used to set the competition website. The ranking of these websites is probably the reason we haven’t found, for example, there are some very powerful external links.

2) not being punished now does not necessarily mean no punishment later. That punishment is not so accurate, precisely when the search engine found these spam messages, spam links to remove these weights and vote, the website ranking drop, appears to be punished, but in fact only the website ranking back to its proper place.

How does a

search engine judge spam messages? Maybe the following.

look at the message time relationship. For example, the same blog within seconds, in different posts appear on the same site message link, this is definitely not normal. Or a spam link from the same web site that appears on several blogs at almost the same time. This single blog author is read out, but to the search engine, easy to detect these.

Whether the

message contains such as URL ( URL? Or just text into a hyperlink? Some spam spam software or leave people ambition is relatively large, not satisfied with only a signature, message content still left in URL. I often see up to a few pages of garbage in a filtered spam message. This spam message, I guess, can be judged by a stupid search engine.

message length. Many spam messages just say "good", "good", "top" and so on. Such short, meaningless remarks also add to the possibility of being questioned.

on the blacklist of IP and web sites. Anti spam software collects garbage sites and IP addresses. Once you’re on the blacklist, you’re filtered out. I believe search engines have similar databases.

How old is the

blog post and the latest messages?. If the blog post had been two years ago and had no new messages for a year and a half, it would have been a bit dubious to send a message.

message correlation. Search engines can use semantic analysis to determine whether there is a correlation between messages and blog posts. Mass software to leave the garbage, usually meaningless, where they are related, are not related words.

multi blog message mode. Mass software will send spam to a large number of blogs, and leave the domain name and message content are the same or similar, this pattern will certainly cause doubt.

the speed at which garbage links appear. And real >

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