Lead
Every day, a large number of websites upload some bad videos and pictures, etc., and among these websites, some websites are deliberately posting these bad information.
In order to crack down on this kind of bad information, the relevant authorities have carried out a series of supervision on these websites, and the result of the supervision is often the closure of the websites that publish bad information.
But there is a kind of website that does not actively upload videos, but the same video will flow between different websites.
And these websites themselves do not violate regulatory laws, so the big data anti-pornography is to supervise these websites.
So will the users of these sites not be convicted for browsing bad websites?
The purpose of big data anti-pornography behavior.
The traditional anti-pornography campaign is carried out by screening professionals one by one, but it is often inefficient.
Therefore, with the development of science and technology and the emergence of big data, the videos uploaded by thousands of websites every day may involve some bad information, so it is impossible for human professionals to screen all the videos.
Big data can quickly screen these videos, which greatly improves the screening efficiency.
However, there is a disadvantage of big data anti-pornography is that big data anti-pornography is through a post-event monitoring and analysis of these bad information, so for these websites that upload videos, they cannot immediately know whether their videos will be screened out by big data after uploading videos.
Then if big data screens these websites that upload videos, many videos have been circulated between different websites, which leads to the websites corresponding to the bad information screened by big data, and there are no violations in these websites.
Therefore, the focus of big data anti-pornography is to turn to this part of the websites that may circulate bad information and the users in the websites, so as long as the people who have browsed these bad information in the websites corresponding to the bad information screened by big data will be presumed guilty by big data, and the next step is to punish these guilty people.
How Big Data Presumes Guilt on People.
Big data will get some very important data information after screening all websites, and then use this information to retrieve the summary information of each website, and the most important data in these summary information is how many users of a website have viewed the video information that may cause criminal acts and how many times these video information have been visited on this website.
This information appears to be a trivial description of the user, but it is also a presumption of guilt against the user.
If a user has browsed some of the most inappropriate information on a website with a lot of inappropriate information, then it is a bad behavior, and if the number of users is too large, then there is a presumption of guilt for those users.
Is it also a sin to browse bad websites.
There is no sin in itself for browsing bad websites, but if you only visit a few bad websites occasionally, it doesn't matter, but if you have been reading these bad information, then there is a presumption of guilt on the person who browses these bad information.
Because for a website, people often browse it, then such users are a valuable resource in their hearts, and they will try their best to attract the attention of such users, so in this way, the circulation rate of these bad information will increase.
So if you look at these bad information regularly, then the circulation rate will gradually increase, so that it will affect the records of the people who browse these bad information, and these records will be used to make a presumption of guilt against these people, then these people will be convicted for browsing bad websites.
Will anyone who browses the bad information website screened by big data be convicted?
No, among the websites corresponding to these bad information screened out by big data, there are often few websites that upload bad information, and many of them are reprinted websites, and there are still some original websites on the reprinted websites, so these websites are also qualified to supervise their own users, and these websites will ban the users who browse these bad information, and will hand over the information of the users who browse these bad information, and eventually these people will be punished by the corresponding departments.
Consequences of browsing bad websites.
It's fine if it's just an occasional lingering, but if you keep browsing the bad information, the viewer will eventually be presumed guilty and punished.
So don't bother with this bad information at any time.
Many of these bad information will cause an extremely bad influence on people, making people degenerate, addicted and a series of problems.
The sense of social responsibility and morality of some people is constantly weakening, so there is such a problem, big data anti-pornography is to hope that through big data, these bad information can be supervised, and these bad information will be cleaned up, so that people will not accidentally see these bad information when they go online.
The follow-up of big data anti-pornography.
Big data anti-pornography is only by supervising the number of websites that upload these videos, but for most of the websites that have a lot of circulation, but have not uploaded bad information, they will not be fined, which gives the websites with a large number of searches to do something else.
However, those who are familiar with big data will know that big data will only supervise the process of video circulation, and will give a brief description of these names, and will not judge these names to determine whether they are bad information.
Therefore, let these websites do some other nonsense and change the name of this bad information, which cannot be supervised by big data.
This situation is also a headache for the relevant departments.
epilogue
Big data is a very beneficial technology, which can greatly speed up people's work efficiency and bring great convenience.
However, big data cannot be foolproof, and for big data, there may be some data omissions, and some data has been artificially tampered with.
Therefore, if big data wants to play a greater role, it needs to be continuously improved.