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Big data has come to sweep away pornography, and browsing pornographic websites in the middle of the night will also be investigated?

Tech 2023-05-16 13:25:56 Source: Network
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In recent years, a lot of big data has been applied in business, such as listening to conversations on mobile phones. If you search for any product on your phone, it will continue to be pushed to you. Now, big data has been applied to the field of anti pornography.

In 2020, the South Korean incident in Room N shocked the world. In this incident, more than tens of thousands of victims were involved, with over 260000 people participating. That is, one percent of South Korean men had entered Room N to watch videos and uploaded their own yellow videos. Cracking down on obscene crimes and eliminating pornography has become a very important matter.

With the popularization and application of internet technology, many people are committing obscene crimes through the internet, building groups to spread pornographic videos and pictures.

Through big data, harmful information and images can be monitored, accurately identified and analyzed, and propagation paths can be recorded. This method is much more efficient than manual recognition.

There is a lot of new data information added online every day, and it is unrealistic to rely on manual review. By relying on big data to analyze this data, identify pornographic information, and using crawler technology to analyze and process the dissemination path of information, people who participate in watching or broadcasting can be monitored.

In China, watching pornographic images is currently not illegal, but spreading obscene and pornographic information is illegal, especially when someone secretly takes private photos of others in real life and spreads them maliciously online, causing great harm to the parties involved. In response to this situation, big data can accurately identify and alert.

At present, the public security department in China is cracking down on illegal websites and accounts.Some websites specialize in posting obscene and pornographic images and videos, charging fees, attracting members, and even organizing prostitution, seriously endangering social security.

Some websites collude with foreign criminals and even participate in illegal activities such as drug trafficking and online fraud. With the monitoring of big data, these websites will be more easily exposed.

In the process of applying big data to eliminate pornography, the first thing we need to do is to strengthen personnel training and master stronger technical means. At present, there are still a few public security departments in China that can use big data to handle cases

If you want to promote this technology on a large scale, what you need to do is strengthen the training of technical personnel, so that everyone can handle cases through big data analysis methods, and improve the efficiency of case detection.

Some people have doubts about whether big data anti pornography will infringe on personal privacy. Many people have opinions about big data monitoring their daily lives and feel that their privacy has been leaked. Will big data anti pornography infringe on personal privacy? After all, big data records what pages everyone has browsed.

Actually, it's not possible. Big data anti pornography only collects data from the internet and does not collect personal privacy data, such as logging into personal accounts, especially bank accounts, on the webpage. In addition, China's public security system has always had a strong sense of confidentiality. For example, big data can record everyone's travel information, but without strict approval procedures, it is not possible to check anyone's information.

Some people still hold a skeptical attitude towards the legality and accuracy of big data anti pornography. Many people have this experience, and some websites they accidentally open may display yellow images, especially when searching for film and television resources. Some websites have yellow image information.

In response to this situation, some people have proposed that big data can monitor every person who clicks on these web pages and record them. However, some people really just unintentionally click on them without engaging in any illegal activities, but they will also be recorded by big data. So, how can we ensure the accuracy of using big data to scan yellow pages?

And in this situation, if someone abuses their power, what should the violator do, and how can legality be guaranteed?

At present, big data anti pornography is still in the use stage, and this new case handling technology faces many challenges. It is believed that in the future, relevant departments will introduce corresponding rules and regulations to regulate big data anti pornography, allowing power to be locked in institutional cages.

Due to the application of information technology, new ways have emerged for pornography related crimes, which are more covert, involve more people, and involve a larger amount of crime, such as the N room incident in South Korea.

Faced with this situation, case handlers must update their case handling skillsIn the new era, new monitoring technologies, namely big data, are adopted for crimes related to pornography. Although there are still various problems in the application process, the technical means of handling cases are constantly improving and developing. Solve problems in applications.

There is no place that should be outside of the law. Some people dress well in real life, but online they become human faced and animal centered. Some people are cautious in their words and actions in real life, but they speak freely online. Online violence often occurs, and many people have relaxed their restrictions on themselves online because online supervision is not yet in place and there is no need to take responsibility for what is said online.

Some experts call for online real name systems to regulate people's words and actions. In the era of big data, the application of big data to monitor bad information on the network allows for a clean and upright network environment.


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