Abstract: Algorithm recommendation, a pivotal technology within the realm of artificial intelligence, has emerged as a significant force shaping the effectiveness of mainstream ideological discourse dissemination. As these algorithms penetrate the domain of mainstream ideological discourse dissemination, they facilitate a range of dynamics: enhancing interactive engagement among discourse participants, providing a holographic view of content, immersing users in varied dissemination modes, and ensuring extensive reach within dissemination spaces. Nevertheless, the use of algorithm recommendations comes with significant challenges that may disrupt the intended outcomes of discourse dissemination. Firstly, the power of discourse may shift erroneously due to "algorithm-driven" strategies, which can undermine the influential role of discourse leaders. Additionally, the "algorithmic black box" phenomenon can lead to the marginalization of essential discourse content, as opaque algorithmic functions obscure the logic behind content selection and presentation. The "algorithmic opium" diminishes effectiveness of dissemination modes, as users become passive consumers rather than active participants. Lastly, the "algorithmic circle" poses a threat by isolating discourse within echo chambers, thereby hindering the expansion into new dissemination territories. To redirect the trajectory from merely "chasing algorithms" to actively "driving algorithms", it is crucial to implement a structured approach to manage the intelligent dissemination of mainstream ideological discourse. This involves employing governance strategies such as subject control algorithms, value-leading algorithms, technical regulation algorithms, and institutional supervision algorithms. By adopting these governance approaches, we can harness algorithmic technology to enhance the dissemination of mainstream ideological discourse.