Core Viewpoint - The article discusses the efforts of major online platforms in China to optimize their algorithm recommendation systems in response to government initiatives aimed at addressing issues such as the promotion of vulgar content, the exacerbation of "information cocoons," and the polarization of viewpoints [1][2]. Algorithm Transparency - Major platforms have taken steps to enhance algorithm transparency by publicly disclosing their operational rules and promoting user awareness [3]. - Douyin has established a "Safety and Trust Center" to explain its recommendation logic and governance outcomes [4]. - Weibo has improved the transparency of its trending search algorithms by publicizing ranking rules and data metrics [4]. - WeChat Video Account has utilized simple graphics and videos to inform users about its algorithm recommendations [4]. Breaking "Information Cocoons" - Platforms have introduced innovative features like "Cocoon Assessment" and "One-Click Break Cocoon" to help users mitigate the risks associated with "information cocoons" [5][6]. - Douyin has upgraded its "Usage Management Assistant" to visually present users' recent browsing content [6]. - Xiaohongshu has implemented features for content preference assessment and exploration of diverse recommendations [6]. - Kuaishou has enhanced its algorithm to promote positive and useful content [6]. Content Review Mechanism - Platforms are continuously improving their content review mechanisms to strengthen the promotion of positive content and prevent the recommendation of vulgar or harmful information [7][8]. - WeChat Video Account has refined its dual mechanism of "Friend Recommendations" and "Algorithm Recommendations" to better identify and eliminate inappropriate content [8]. - Douyin has introduced a verification mechanism for trending topics to prevent the spread of misleading or fabricated content [8]. User Empowerment - Platforms are optimizing features related to user interest management and content feedback to allow users to adjust their algorithmic recommendations [9]. - Kuaishou offers detailed interest preference management tools for users to customize content delivery [10]. - Weibo has provided various negative feedback options for users to express disinterest in certain content or creators [10]. - The government acknowledges that while progress has been made in algorithm governance, there are still gaps in functionality and content quality that need to be addressed [10].