With the approach of the Spring Festival, consumers choose to buy New Year's goods, book air tickets and hotels, and the topic of "big data killing" has recently attracted widespread attention again. Recently, it was disclosed that when booking the same flight on the same platform and at the same point in time, the difference between the air tickets displayed by the three mobile phones was as high as 930 yuan. As soon as this matter was completed, it once again pushed the problem of big data killing to the forefront.
So-called"Big data kills ripeness"It refers to the use of big data analysis by some Internet platforms to analyze users' consumption habits and behaviors, and adopt different pricing strategies for different users, so that the same product or service presents different products and services to different users. This practice has sparked dissatisfaction and doubts among consumers, and has been accused of unfair ** discrimination.
In response to the phenomenon of big data killing ripeness, some experts and scholars have proposed that Internet platforms should establish a fair pricing mechanism to avoid using big data for discrimination. Regulators should also strengthen supervision over the pricing behavior of internet platforms to protect the legitimate rights and interests of consumers.
For consumers, in the face of the phenomenon of big data killing, they can adopt some strategic consumption methods, such as comparing at different points in time and on different platforms, and paying attention to preferential activities and discount coupons, so as to reduce the possibility of pricing discrimination.
In general, the issue of big data killing is a complex issue, which requires the joint efforts of Internet platforms, regulators and consumers to achieve a fair and reasonable pricing mechanism and protect the rights and interests of consumers.
In addition to making comparisons and keeping an eye on offers, consumers can adopt the following strategies to reduce the likelihood of being discriminated against:
1.Anonymous browsing: When searching and browsing products or services, you can use private browsing mode or anonymous browsing to avoid pricing based on your browsing history.
2.Clear your browsing history and cookies: Clear your browser's cookies and browsing history regularly to reduce tracking and analysis of your preferences.
3.Use a VPN: Use a virtual private network (VPN) to hide your true geolocation, reducing the likelihood of pricing based on geolocation.
4.Account cancellation: Some may personalize pricing based on the user's account history, so consider using an anonymous account or closing an account when comparing**.
5.Book early: When it comes to flights, hotel reservations, etc., booking early may result in a more stable and fair ** level of pricing that can be affected by dynamic pricing.
6.Use different devices: You can compare on different devices, as some may adjust pricing based on device type and operating system.
The above strategies can help consumers reduce the possibility of being discriminated against by big data pricing, but it should be noted that not all of them are cooked by big data, and some strategies may increase the cost of consumers' time and energy.