Economic Daily: Breaking through the algorithm "cocoon" is not a one-day effort.

The Economic Daily article states that algorithm recommendation technology has deeply integrated into various fields and scenarios of economic and social development. By capturing user daily usage data, analyzing user behaviors, habits, and preferences, it accurately provides various services such as information, entertainment, and consumption. It can be said that algorithm recommendation to a large extent helps users filter out redundant information, improves information acquisition efficiency, solves information overload problems, and becomes an important way for platforms to attract high-stickiness users and drive growth. However, as a technical tool, algorithm recommendation is also a "double-edged sword", and if used improperly, it will inevitably create some chaos. The primary issue is that there is too much homogenized content, forming an "information cocoon". The phenomenon of vulgar information should also not be underestimated. The greater harm lies in damaging the content creation ecology of the platform. Once the trend of "bad money driving out good" starts, the platform's high-quality creators and users will gradually lose, causing a serious blow to the healthy development of the platform.