Google processes billions of searches per day. In fact, every day, 15% of the searches we process are ones we’ve never seen before. Automation is how Google handles the immense scale of so many searches. Google uses automation to discover content from across the web and other sources. Automated systems – like our search algorithms – are used to surface what seems to be the most useful or reliable content in response to particular queries. Automation also helps power our SafeSearch feature, allowing those who wish to use it to help prevent explicit content from appearing in search results.
Automation is also generally Google’s first line of defense in dealing with policy-violating content. Our systems are designed to prioritize what appears to be the most useful and helpful content on a given topic. Our systems are also designed not to surface content that violates our content policies.
No system is 100% perfect. If our process surfaces policy-violating content, we always look to resolve it by improving our automated systems. This allows us to better deal with both a particular issue that’s been detected and improve for related queries and other searches overall.
In some cases, we may also take manual action. This does not mean that Google uses human curation to rearrange the results on a page. Instead, humans are used to review cases where policy-violating content surfaces and take manual action to block this content, in the limited and well-defined situations that warrant this.