Uber Uber’s famous ride-hailing software service company passengers can book a car by sending a text message or using a mobile application. When using a mobile application, they can also track the location of the vehicle. Once published an article on the official website entitled "Rides of Glory" , RoG" blog. The article says, "I know we are not the only lovers in your life. We also know that you will find love somewhere else ( we know we're not the only ones in your life and we know that you sometimes look for love elsewhere ) . "Uber-called" glory tour ( Rog ) "- is actually the so-called one-night stand ( One-night Stand ) synonymous.
Uber uses data analysis technology to specifically screen out those car services between 10 p.m. and 4 a.m., and these customers will be enough to complete a fast RoG within four to six hours from the last drop off location. Call a car again within about 1/10 of a mile ( 160 meters ) .
Based on the analysis of the data, Uber inferred the time and location of the one-night stand and marked these locations on the maps of New York ( NYC ) , San Francisco ( SF ) , Boston ( Boston ) and other American cities to get the high incidence areas of frequent one-night stands . Data analysis found that Boston is at the top of the "one-night stand" in the United States, while New Yorkers appear to be more conservative. In time node-night stand "attack" high-frequency section is made on Friday and Saturday nights if your other half at this point in time that he was busy with work overtime you have to "take it easy" a .
Of course , although Uber is mostly joking here , it does seriously infringe on users' privacy , and has been protested by many users and media . For example , the New York Times published the title " We Can't Trust Uber".
After being protested by users and the media , Uber quickly deleted this blog , but in this digital age, once you go online , " Houmen is as deep as the sea , and it is difficult to dream of walking in the snow". The article is still visible on the Internet until now.
It is undeniable that the arrival of the big data era has brought many conveniences to our study and life. But the harvested mulberry is lost in the east. Everything has two sides. At present human behavior, such as shopping, travel, and even games , it has been digitized , privacy has no place to hide . Whether the United States Snowden "prism door" listening project exposure , or emerging , such as Uber and other companies customer data leak incident , have issued warnings to protect personal privacy under the age of big data to us.
The famous Chinese bioethicist Qiu Renzong believes that big data technology, like all technologies, is not "good" or "bad" in itself , so it is ethically neutral. However, the use of its individuals, companies, institutions are valuable orientation , Big Data technologies still like double-edged sword , it can give us life, research has brought convenience , but also bring negative effects such as invasion of privacy.
Perfect legislation , is extremely important for the protection of user privacy. For example , stipulated that only when the user needs personalized service customized , himself raised the demand , big data companies can call the user's information , information to call in other cases are taken anonymously , otherwise it is treated as an invasion of privacy.
There is a paragraph on the Internet titled "Terror of Big Data" , which uses the process of ordering pizza to "at a glance" the user's privacy disclosure . Although it is an exaggeration, the necessity of privacy protection in the era of big data is beyond doubt. .
In "Old Testament Proverbs" 18:17, there is a sentence "It seems reasonable to plead the cause first. But the neighbor will find out the truth when he comes."
With the release of masterpieces such as Professor Schönberg’s "Big Data Era" and Mr. Tu Zipei’s "Big Data" , it has brought the world’s people the baptism of education in the form of “dazzling initiation” and is educating the public and government officials to accept big data. In the sense of popularization of the times , these works have made great contributions. Many of the thinking in their book has been regarded as the norm by many big data fans , but everything has two sides , and blind enthusiasm will bring cognitive bias.
Such as heavyweight reflection "New York Times", "Financial Times", "Nature" and "Science" and "neighbor" to come , let us have a more objective perception of "big data." From they give a little story , a small case or a small piece , you can prompt us to stir some reflection of big data , thus warned us , must keep a clear head , critically accepting big data . The thinking of the preacher must not regard it as a universal truth. Over-reliance on large data it is possible to repeat the Icarus of War in the past.
In Greek mythology, Icarus was an arrogant god . He was the son of Daedalus . One day when he fled Crete with his father Daedalus using wax and feather wings , he believed too much in his flying skills . So flying too high , the wax on the wings melted under the sun's rays, and the wings fell off , eventually causing himself to be buried in the sea.
Big data technology is like wings made of "wax and feathers" . It can help us fly higher , but if we rely too much on it, we risk being killed in the ocean. We have to learn how to make big data for my use instead of becoming a slave to big data.