Post by account_disabled on Feb 20, 2024 1:18:16 GMT -5
Various penalties are imposed by Google on sites that do not comply with the guidelines. Although many webmasters describe this situation as " Google banned my site " or " I got banned from Google ", I can generally summarize these situations as Google Penalty or manual action. In this article, I wanted to create a guide by talking about Google penalties in detail and adding the explanations made by authorized people about manual transactions. The main reason why penalties exist is to make the algorithms more useful search engines for users by clearing them of spam content. An important step was taken in detecting web spam techniques by introducing the algorithm called Penguin as of April 2012 . Web Spam Overview In recent years, Google has begun to publish many statistics describing how it deals with spam.
From time to time, he warned webmasters with some reminders on blogs . To summarize Greece Phone Number according to 2019 anti-spam statistics: More than 25 billion spam pages every day, 230,000 spam reports were received and 82% of these reports were actioned. In 2018, the number of these reports was 180,000 and 64% of them were processed, 4.3 million manual action messages were sent to site administrators, User-generated spam content, which increased in 2018, did not increase in 2019, Backlink spam has become the most popular type of spam over the year, In 2019, the impact of spam content on users was reduced by 60% compared to 2018, 90% of backlink violations are detected by algorithms, New explanations were made regarding the use of nofollow , Spam via hacked websites remained stable compared to 2019.
Since I was directed to the page where Google gives some statistics while fighting spam, I wanted to look at the latest data via web archive and add it to the article. An image of manual action being applied to 0.22% of the sites in the index: (2018) Full spam is among the most common types of manual actions. You will find many details about spam in the rest of the article. In recent years, Google has also shown some examples of sites to which it gave manual action: The following screenshot I took in February 2018 shows weekly reconsideration requests received from 2006 to the date I specified: Google was able to detect spam situations faster by using manual processes and spam types determined by algorithms together with machine learning. In the statements made, it is not said that their algorithms will prevent spam 100%, and it is also mentioned that the systems are not perfect: Another blog post makes it clear that spam detection systems are not always perfect and are subject to improvement: You can access 2018 spam statistics data here .
From time to time, he warned webmasters with some reminders on blogs . To summarize Greece Phone Number according to 2019 anti-spam statistics: More than 25 billion spam pages every day, 230,000 spam reports were received and 82% of these reports were actioned. In 2018, the number of these reports was 180,000 and 64% of them were processed, 4.3 million manual action messages were sent to site administrators, User-generated spam content, which increased in 2018, did not increase in 2019, Backlink spam has become the most popular type of spam over the year, In 2019, the impact of spam content on users was reduced by 60% compared to 2018, 90% of backlink violations are detected by algorithms, New explanations were made regarding the use of nofollow , Spam via hacked websites remained stable compared to 2019.
Since I was directed to the page where Google gives some statistics while fighting spam, I wanted to look at the latest data via web archive and add it to the article. An image of manual action being applied to 0.22% of the sites in the index: (2018) Full spam is among the most common types of manual actions. You will find many details about spam in the rest of the article. In recent years, Google has also shown some examples of sites to which it gave manual action: The following screenshot I took in February 2018 shows weekly reconsideration requests received from 2006 to the date I specified: Google was able to detect spam situations faster by using manual processes and spam types determined by algorithms together with machine learning. In the statements made, it is not said that their algorithms will prevent spam 100%, and it is also mentioned that the systems are not perfect: Another blog post makes it clear that spam detection systems are not always perfect and are subject to improvement: You can access 2018 spam statistics data here .