Recently, some netizens posted a screenshot of air ticket booking, "At the same time, on the same flight, three mobile phones show three kinds of **" In the face of obvious ** differences, netizens complained about the willfulness of the platform's price and treated consumers differently. Some consumers also reported that malicious price increases and precise push are still repeated, and the governance of big data "killing" is not thorough enough.
The Spring Festival holiday is approaching, and the number of inquiries, visits and bookings of air tickets and hotels on major platforms continues to rise, but similar ** "maybe" always makes consumers feel "bottomless". Users who often use third-party platforms to book tickets believe that it is understandable that air tickets and hotels are seasonal during the holiday travel season, but the price difference between the same time period and the same flight on different models of mobile phones is so obvious that the platform's explanation of "different random discount amounts" obviously cannot eliminate consumers' doubts.
In addition to the lack of clear standards for discounts, many netizens have also encountered problems such as the more views, the higher the number of views, and the low price tickets can only be purchased but cannot be paid, exposing that the phenomenon of big data "killing ripeness" still exists, and even more tricks, wider coverage, more hidden routines, and it is difficult for consumers to protect their rights. According to a survey conducted on social platforms on "whether they have ever been killed by big data", 85% of participants have experienced big data "killing".
For a long time, consumer complaints about the chaos of big data "killing ripeness" have remained highOn the one hand, the platform occupies a dominant position in data collection and algorithm application, and it is difficult for consumers to distinguish whether it is big data "killing" or differentiated marketing, and it is difficult to provide evidence to protect their rights. On the other hand, how to grasp the degree to which the platform collects users' personal information also faces the problem of blurred boundaries and unclear standards in actual operation。These problems provide an opportunity for the platform to "routine" consumers.
Effective governance of big data requires the joint efforts of multiple parties. In addition to reminding consumers to operate cautiously and avoid being "killed", targeted supervision and industry self-discipline should be strengthened in terms of platform operation and personal information collection, so as to effectively protect the legitimate rights and interests of consumers. New tools such as big data and algorithms provide a lot of help for all kinds of consumption, but platform companies should realize that the standardized use should start from bit by bit, and should not be used as a "routine" that infringes on the rights and interests of consumers.