“平台不欢迎有毒的流量”，抖音如何驾驭算法？

Core Viewpoint - The opening of the recommendation algorithm by the social media platform X aims to enhance algorithm transparency and user trust, reflecting a broader trend in algorithm governance across various platforms [1][2]. Group 1: Algorithm Transparency and Governance - X's CEO Elon Musk announced the open-sourcing of the platform's recommendation algorithm, which will be updated every four weeks, to improve transparency [1]. - In China, algorithm governance has become essential for major platforms, with regulatory bodies implementing measures to prevent algorithm misuse [1]. - Douyin (TikTok) launched a "Safety and Trust Center" in March 2025 to publicly share algorithm principles and governance systems, attracting over 1.5 million visits [5][7]. Group 2: User Trust and Engagement - Douyin's content operations head, Li Xiangyu, emphasized that transparency in algorithm principles is intended to build user trust and understanding [2][10]. - The platform conducts quarterly user trust surveys to assess its performance and areas for improvement, focusing on social responsibility and content authenticity [5]. Group 3: Algorithm Functionality and Challenges - Douyin's recommendation algorithm scores videos based on user interactions, but it faces challenges from content that manipulates engagement metrics, such as clickbait [7][10]. - The platform is aware of negative phenomena like "rage bait," which can lead to toxic engagement and is actively working to mitigate such content through algorithm adjustments [11][12]. Group 4: Addressing Negative Content and User Experience - Douyin has implemented rules to govern extreme and inflammatory content, aiming to foster a rational discussion environment [13][16]. - The platform's efforts to combat "rage bait" and "information cocoons" are part of a broader strategy to enhance user experience and engagement [16][17]. Group 5: AI and Rumor Management - Douyin has integrated AI technology for rumor management, significantly reducing the exposure of false information by 90% since its implementation [21][26]. - The platform faces challenges in identifying and managing rumors due to the lack of authoritative sources and the potential for misinformation in external databases [21][26].