In the era of artificial intelligence, why does Kamma still need a lot of labor?

(Original title: artificial intelligence is so hot, but it can't replace manpower in content auditing)

Nan Qidao

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Recently, Facebook CEO Mark Zuckerberg announced that the company will add 3,000 content auditors who are responsible for reviewing the content on the platform, including videos of recent murders, suicides, and rapes that have appeared on the Internet.

It is no surprise that technology giants employ a lot of manpower to do content audits. Google, Baidu, Tencent, Sina, and today’s headlines all have similar positions. For content-based platforms, content review is particularly important. Once it is not handled properly, it may affect the entire company's prospects. Why is today's technology so advanced that machines cannot completely replace traditional manual audits? The giants also need human tactics to identify yellow?

Content Platform's "Achilles' Heel"

In April of this year, a Thai man broadcast live on Facebook to kill his daughter and the man commits suicide. The video hung on Facebook for nearly 24 hours, and a large number of users saw the baby being killed. One of the videos played more than 250,000 times. The video was also uploaded by other users to other video sites.

Pornography, violence, crime, and these undesirable content appear on Facebook many times, which makes Facebook controversial. In March of this year, a 15-year-old American girl was sexually assaulted by multiple men and was broadcast live on Facebook. The video attracted at least 400,000 people. Some people claimed that this picture made people feel scared and uneasy, "I couldn't sleep at night after watching."

After the incident, the Facebook team realized the seriousness of the problem. Facebook CEO Zuckerberg publicly stated that Facebook will make every effort to avoid the reappearance of such content, and that Facebook wants to become a healthy and safe online community, there is much work to be done.

Enrollment increase content reviewers are exactly what Facebook has done for this purpose. Previously, Facebook had 4,500 employees worldwide responsible for content review. This expansion will make the review process more timely and accurate. These employees are primarily responsible for dealing with unsuccessful content that has not been reviewed or has not been immediately removed.

In the age of social media, a large number of users are constantly producing content every day. For the platform, in addition to subsidizing content producers, it also requires more content review costs. However, despite this, the platform does not hesitate to use manpower and financial resources to do a good job in content review. On the one hand, there are a lot of bad content, which will make users feel offensive and will reduce the frequency of using the product or even stay away from the product. Bad money drives out good money, which is not conducive to the long-term development of the platform. On the other hand, the publication of bad content is likely to lead to violation of national laws, leading to the control of the platform or even closing. At the beginning of this year, the well-known same-sex community ZANK was totally shut down due to live broadcasting.

In China, many BAT platforms have content auditors. Take Sina Weibo as an example, Sina Weibo is one of the largest social platforms in China. For content, Sina Weibo still mainly adopts manual review. In addition to pornography, violence and other undesirable content, the platform will also pay attention to political, religious and other sensitive content. However, there are still various types of fish that are caught or have bad contents. Content review and check-ups have become the top of Aker’s brand for each major content platform. From start-up companies to technology giants, no one dares to relax this nerve. Unless there is ulterior motive to use eroticism to attract users, it will certainly not last long.

Desperate Content Review Worksheet

In 2013, more than 10 Internet companies including Baidu, Tencent, and Jinshan formed the “Security Alliance” and recruited 200,000 high-paying “leader pornographic appraisers”. To work on the film can also see a high salary, netizens ridicule "is simply no justice."

In fact, content review work is not as simple as it seems. Taking Facebook as an example, Facebook’s existing auditors have to deal with a large amount of UGC content every day. They need to review inappropriate content including pornography, violence, and crime, and they will be under great pressure when judging content. They must distinguish between ordinary children's portraits and child pornography photos, and also distinguish whether this is a joke between friends or intrusive content. They must be meticulously categorized and need to put the content into specific contexts to distinguish. Without proper review, Facebook is very likely to be accused of violating citizens’ freedom of speech.

The auditor's work will have a great negative impact on personal life. After a long-term review of child pornography, they will be suspicious of people who come into contact with children. Watching too many erotic images can even affect their sexual life and marital relations. They have already felt numbness in pornography.

In January of this year, members of the Microsoft online security team filed a lawsuit against Microsoft. Because they are forced to watch a large number of horror, pornographic and homicide images and videos every day, they suffer from mental sequelae, “frequent insomnia, nightmares, and full of pictures and video content in their brains.” But Microsoft officials said they did not agree with the two. From the perspective of former employees, the company will provide some psychological support for these employees each month.

The same situation is common in China, especially in the area of ​​content review. Many companies will pass content audits to external companies. These companies employ a large amount of manpower to review the content of texts, pictures, videos, etc. Auditors need to undertake hundreds or even more information audits every day. These auditors led monthly wages of 3,000 to 5,000, mostly in second and third-tier cities in China. Reuters’s previous report once called Sina Weibo’s work “high-pressure, hopeless work” — at least 3,000 micro-blogs per hour per person. Many people are under too much pressure to see it. Raise space and leave.

Artificial intelligence era review

With the development of science and technology, media and entrepreneurs are constantly delineating the exciting scene of the arrival of the artificial intelligence era, but today, although through machine learning, the system continuously improves the recognition and judgment of the content type. But for the review of content, the tech giant is still mainly dependent on labor. This is really a special embarrassment.

Machines cannot completely replace manual audits for a long time. Take Google as an example, Google has more than 10,000 employees acting as evaluators of search results. This industry-leading tech giant still needs to hire a large amount of labor to improve its own products. This may explain the limitations of artificial intelligence. It is difficult for machines to simulate the experience of ordinary users. It is difficult to understand the deep meaning behind content. It is difficult. Make accurate "human judgment."

Moreover, the current machine audit is mostly used for text content. If the machine detects a content containing a sensitive vocabulary, it deletes it or warns the user. However, for the review of pictures and videos, the machine cannot extract keywords like the text content, and the review is difficult. In the Facebook killing child case mentioned above, the machine cannot identify the nature of the content based on the video frame. At this point, manual review will play an irreplaceable role.

For Facebook, a large social networking site with 2 billion users, there are two other auxiliary audit channels in addition to manual review. On the one hand, Facebook leads users to use reporting features. If users find pornographic videos, pictures, and other bad information, they can report to the platform. After the website administrator receives the information, it will complete the follow-up processing such as deletion of pictures or seals. On the other hand, Facebook is also testing artificial intelligence, hoping to further adopt the machine + manual audit method. For example, if a nude photo was previously deleted, it will be automatically deleted when it is uploaded again.

In China, manual + machine auditing is the current audit method commonly used by technology companies. Take fast hand as an example. Quickman has hundreds of content review teams. Each quick short video and live broadcast release is subject to multi-channel audits such as machine and labor. At the same time, many third-party companies provide content review services, such as Vientiane, Netease, Yipu, Tupu, Ali Green and many other products, can assist the platform for machine audits. Youku, Litchi FM, Yingke Live, Meipai and many other platforms all use these third-party services.

Although the artificial intelligence has achieved good development, it is gradually changing people's way of life and improving social efficiency. But it is still far from the era of completely liberating the artificial. For a large number of low-level employees who have content reviews, they are mixed in between the tech giants and the massive information every day. Perhaps in the future, artificial intelligence can completely liberate them. But it was the day when they were unemployed.

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