# Privacy Footprint

After reading data and information, I feel that what the article describes is the advantages and disadvantages of the big data era.

Let’s start with the advantages: First, big data can change the original news narrative form and improve interactive performance. In the era of text printing, readers contacted news through paper text as the carrier, and obtained information through linear reading. At that time, readers gave information feedback by writing letters or calling, and the interaction efficiency was low. In the era of radio and television, although the media carrier and expression of news have changed, it is far from being comparable to the later era of big data. In the era of big data, a news report can be supplemented with images, text, sound, animation, video, and other forms, and the forms of expression are more diverse. For example, the recent Australian wildfire report takes the form of electronic maps, and uses various presentation methods to break the past pictures and texts. Form, interactive interactive features can also promote readers' attention and click, and it is more in line with the characteristics of lightweight and fast reading in the Internet age. The technical support behind these changes is big data and cloud computing, for example: China's Beijing Cloud, using big data technology, can realize command and dispatch, public opinion monitoring, central kitchen, data center, content sharing, copyright protection, dissemination Analysis, detection and supervision, intelligent operation, security protection, and integration of the client are integrated. The original news narrative pattern has been changed, and the audience is no longer passively receiving news. Technology has given the audience more initiative, and the interaction between media and people Sexual enhancement, the audience gradually transitioned to the user. Secondly, big data can be used to make fact judgments, so as to deeply mine and sort out various relationships in the news. Caixin.com's data journalism laboratory was established in October 2014. Compared with the portal website, it started late, but it has launched many excellent data journalism works, gradually establishing Caixin.com's status in domestic data news reporting. Although data is cold, it is rational. The relationship behind many news is difficult to find by human beings, but through big data technology, the correlation between data and data can be easily found, which is conducive to sorting out the relationship network behind the news. Third, big data can predict the direction of events and improve the accuracy of news. Predictability is an important application of big data, which will benefit the development of society. For example, the rise in sales of masks may be a precursor to the advent of epidemic diseases. Microscopic aspects such as the onset of epidemics and traffic congestion; macroscopic aspects such as changes in economic indicators, the advent of certain social crises, etc., can improve the accuracy of news through the predictability of big data. Finally, big data enables information customization. As we know, "a headline" provides personalized news services according to user needs. The basis for pushing content is to use big data technology to sort out the user's previous browsing status to analyze the user's reading preferences, so as to push content that meets the user's interests. So many people joked: Big data knows yourself better than yourself.

Then let’s talk about the drawbacks of the big data era: First, big data values ​​correlation, so it is difficult to answer causal logical relationships. We may be able to see from the data that China's divorce rate is positively correlated with Australia's orange production, but in fact there is no causal relationship between the two. If you are misled by highly correlated data, you will inevitably fall into the correlation trap. Secondly, the lack of "deep digging" of data value and the lack of speculativeness may be the biggest difference between big data technology and the human brain. Intelligent writing robots can quickly produce manuscripts, but it is difficult for machines to express the deeper thinking contained in them. Only by digging deeply through the ability of thinking can one produce a manuscript with profound meanings. But from another point of view, technologies such as robot writing and big data distribution can completely reduce the workload of reporters and editors. In practical applications, some lightweight news can be handed over to big data, so that reporters and editors have more energy to complete the work. Deeper, more speculative manuscripts. Thirdly, in the era of big data, user privacy is facing challenges. Everyone may have such an experience. When you have just searched for certain products on Taobao, browser advertisements will immediately recommend similar products. Will this make everyone feel that they are being “monitored” by data? I even saw some netizens say (the authenticity has not been verified) that when they just said what they want to eat in real life, they open Taobao and there are recommendations. It sounds like even our voice data has been monitored. privacy challenges. Facebook in the second article also shows that users' privacy is under threat. Finally, let’s talk about the “right to be forgotten”. This concept became popular with the "burn after reading" function of a foreign software. I think people have the right to forget the traces that we want to forget. In the era of paper media, a shredder can shred any file you want to destroy, but in the era of big data, the Internet has a memory and will not disappear because of your selective forgetting. Those traces that people hope to forget will be forever. record it. But on the other hand, the "right to be forgotten" is likely to encourage people to freely and irresponsibly publish information on the Internet. To put it further, the "right to be forgotten" is in conflict with national security and freedom of speech. A benign social order must be built on the basis of citizens' self-discipline.