The recent outbreak of ticket price difference on a ticketing platform has attracted widespread attention from the society, and this is only the tip of the iceberg of the problem of big data killing. As a social news self-media practitioner, I have investigated this phenomenon in depth, hoping to reveal the truth behind the incident and arouse readers' deep thinking about big data killing.
First of all, this ticket purchase price difference incident is just the tip of the iceberg of big data. With the continuous development of Internet technology, big data analysis has become a powerful tool in various industries. However, in the commercial application of big data, some platforms have even used it for differentiated pricing, which seriously harms the rights and interests of consumers. This is not only manifested in the opacity of prices, but also involves the misuse of consumers' personal information.
In my in-depth research, I found that similar price differences are not unique. In the case of a resort hotel, the price difference between the gold member account and the ordinary member account was nearly 300 yuan. The platform's explanation is often based on giving certain preferential treatment to newly registered users, but the transparency of such preferential policies is worrying. The cost breakdown only has the total price that the user needs to pay, and there is no detailed explanation of the offer, which makes it difficult for the user to understand the logic behind the price.
In addition to the field of ticket purchase, big data is also reflected in online shopping, taxi and other fields. On e-commerce platforms, users reported that when buying home appliances, the price of non-members was lower than that of members, while in the field of online car-hailing, users found that "newcomers" took taxis more expensive than "acquaintances". This