Zhou dongfei: Big Data is a good news for critics

　　

(Director of comments from Zhou dongfei's Xiaoxiang Morning Post)

Yang Zong of rednet said that his subject had changed in the process of information dissemination, saying that he originally meant how to judge news facts and values in the information explosion age, as a result, Wang Xiaoyang changed him to the big data age. How can he judge news facts and values? In fact, I want to give a thumbs up for Wang Xiaoyang. I think such a misunderstanding is better. Why? I think this big data age is the age of information explosion. There is no essential difference. In addition, the era of information explosion is not more fashionable, but more appropriate.

The data we are talking about is not a number. are the facts we use to write comments? Are they data, therefore, how to judge facts and values in the big data age is very relevant. Data always exists. data already exists before the Internet age. I believe there is no difference between them. Data always exists, so what is big data? Big Data is massive data, systematic data, and freely accessible data, because we have already entered this big data era, he will inevitably have a profound impact on our comment writing. However, it is a pity that we have not studied big data in the review field so far. Therefore, when we hear about big data, we feel a little confused.

However, we subconsciously think this is a bit confusing. Is it related to our lack of research? I think yes, including what we say we are doing data news, we are doing data news, there is a number of data journalism abroad, also called data journalism, this also reflects the data news we understand from a certain perspective. It is not necessarily digital news, but also contains materials and facts. So how can we use big data in the big data age? I think it is not enough to study it now. Today I am willing to share two cases with you about big data.

One case is a mass event of Anhui officials. People who write comments should all know that some News reported that Anhui had carried out a so-called house clearing activity, then there were more than 1 million officials in Anhui Province filling in their own housing materials. It is said that only 0.3 million suites were filled in. The news turned to public opinion. 1 million officials lived in 0.3 million suites, that is, an average of 0.3 suites per person, ten officials lived in three houses, and people said they were in the group of Anhui officials. Is that true? Everyone was surprised. Of course, on the next day, he made a statement about Anhui province, saying this was not the case. Then he said a lot.

So we can either comment the author or edit the comment. When we see such news, how can we write such a comment? He is a data. In The Big Data era, we don't need to use big data to solve this problem. In fact, in the big data era, we don't have to use big data to solve the problem, sometimes, as long as you think about big data, using small data is enough to solve this problem. We can easily find the background information. The background information of an official from Anhui is very simple. I checked the information on the Internet and explained what his document said, he said that what they asked officials to fill in was not the commercial houses they had bought, but the houses they had changed. During the housing reform process, if they think there is a problem, they should fill it out. If we have such information, it would be normal for 1 million officials to report 0.3 million houses, because 30% of the houses are faulty.

Therefore, the revelation of this case 1 is that big data can make comments more objective and rational. Of course, some people may say what big data is, I am talking about how small data in Big Data thinking solves the problem.

So in the second case, I would like to share with you the event of a great escape from Hong Kong in Dongguan. We all know that at the very beginning of the year, the ISO-hosted service in Dongguan suffered a Disaster Tolerance Against Pornography-related services, then Baidu has a Baidu migration, and Baidu migration has a very intuitive figure. Then someone will post this figure on Weibo, saying that you see, after the investigation in Dongguan, on the day of the sixth day, tens of thousands of people fled from Dongguan to Hong Kong. Everyone believed that the big data was so bad that they could see that this was definitely where Hong Kong people were whoring, in other words, these hackers ran to Hong Kong for whoring when they saw the storm in Dongguan. Is that true? In fact, I mentioned just now that big data has a very important feature that it can freely obtain data. Baidu migration can be viewed by not only released users, but also by yourself, I ran to check it out. In fact, this kind of crowd migration from Dongguan to Hong Kong was like this every day, not after investigation. It was like this every day, it is clear at first glance that the so-called Dongguan hacker dump is a lie under the big data coat. If you look at the data by yourself, you will understand it very well, so how can we guard against the need for local pseudo data in the big data era.

In fact, let's take a good look at the data. I think big data is a good news for reviewers. Using Big Data can let us live up to this age and let us down. Thank you.

Zhou dongfei: Big Data is a good news for critics