[Purpose/significance] A comparative study on the strength of cross-platform user information filter bub? bles in the era of digital intelligence, to explore the differences and complementarities of similar content intelligent dis? tribution platforms, will help platforms and users to take effective measures to break the filter bubbles and improve in? formation diversity.[Method/process] Combined with LDA topic model and information entropy theory, taking 30746 user text comments as a sample, measuring the filter bubble strength of user information on Toutiao and Tencent News, and comparing and analyzing the similarities and differences between cross-platforms. [Result/conclusion] The study found that the two platforms did not cause users to fall into filter bubbles, but increased the diversity of user informa? tion, and the improvement of Toutiao was greater than that of Tencent News. In addition, the information of the two plat? forms is complementary, and the combined use of two platforms helps to improve the diversity of user information.