Core Insights - Douyin has implemented AI large model technology for rumor management, resulting in a 67% decrease in rumor exposure over the past quarter [1] - The AI model actively reviews trending information, analyzes content, and determines its authenticity, reducing the processing time from days to hours [1] - The accuracy of the AI model in identifying rumors has reached 85% and is still improving [1] Group 1: AI Implementation and Features - Douyin has developed a "rumor identification expert" AI model that assesses the credibility of information sources, including authoritative media and historical rumor databases [1] - The newly upgraded "AI Douyin Truth-Seeking" feature provides users with links to comprehensive information on potentially misleading content [2] - The "AI Douyin Truth-Seeking" feature is estimated to achieve nearly 100 million daily exposures [2] Group 2: Operational Strategies - Douyin has established a rumor management ecosystem through various strategies, including hot topic operations and collaboration with media rumor teams [2] - The rumor management team actively verifies the authenticity of information related to rumors, collaborating with local authorities to address false claims [2] Group 3: Challenges in Rumor Management - Despite advancements, challenges remain in completely eliminating rumors due to subjective fabrication and dissemination errors [3] - The dynamic nature of trending events complicates timely verification and can lead to the reversal of rumors [3] - The changing methods of information dissemination can contaminate the sources of information, necessitating a collaborative effort among media, institutions, platforms, and users [3]