近日，抖音安全与信任中心在上海举办专家沟通会，这是继北京首场活动后的第二场研讨会。活动邀请 学者代表围绕算法原理、内容生态、平台责任等议题展开深入交流。本次沟通会旨在通过学界与平台的 互动，共同推动算法透明化和"算法向善"的实践。 抖音安全与信任中心上海沟通会现场 本次沟通会参会专家包括复旦大学新闻学院教授陆晔、复旦大学新闻学院教授张志安、复旦大学社会发 展与公共政策学院教授黄荣贵、上海社会科学院新闻研究所互联网治理研究中心主任方师师、华东师范 大学传播学院副教授吴畅畅、复旦大学管理学院副教授周舟、北师香港浸会大学传播系助理教授王怡 霖、华东师范大学传播学院讲师皇甫博媛。 活动分为两部分，上半场抖音算法工程师、内容运营先后介绍了抖音算法原理和平台内容生态建设；下 半场交流讨论环节，学者针对公众关心的算法核心问题进行了深入讨论，提出的观点坦率且有针对性。 复旦大学新闻学院教授陆晔提出，短视频用户群体存在明显分层，算法需兼顾不同用户的多元需求。在 去中心化的时代，既没有完全一样的推荐机制，也没有统一的用户。陆晔强调，平台面对不同圈层用户 的个性化需求，需正确看待批评的声音，重视算法在公共事务讨论中的影响，并建议平 ...

Group 1 - The National Market Regulation Administration has approved the release of two revised national standards for tourism services, which will enhance the tourism service standard system and stimulate the tourism consumption market [1] - Over 20 A-share companies have announced changes to their stock names, reflecting strategic transformations and aiming to attract investor attention [1] Group 2 - Multiple fund companies have received notifications about a 20% reduction in index usage fees from the China Securities Index Company, effective from April 1 [2] - The quarterly minimum fee for index products has been lowered to 20,000 yuan, with no minimum for certain non-stock index products [2] Group 3 - The scale of ETF funds has surpassed 4 trillion yuan, intensifying competition in the pure index sector, while the growth of index-enhanced funds has recently stagnated [3] - Industry insiders attribute the stagnation to high investor cognitive barriers and the instability of excess returns [3] - Oil service companies in A-shares report stable performance despite recent declines in international oil prices, with companies like CNOOC and Jereh showing solid results [3] Group 4 - The pace of new IPO approvals in A-shares has accelerated, indicating a gradual recovery in the IPO market, with expectations for slight growth in 2025 [4] - Deloitte China predicts that the new stock issuance in 2025 will focus on quality and support for technological innovation [4] Group 5 - The securities industry is expected to see a reversal of difficulties in 2024, with revenue and net profit growth, although investment banking services are still struggling [5] - Only 6 out of 38 listed brokerages reported positive growth in investment banking fees, with an average decline of 27% for the others [5] Group 6 - The "Guzi Economy" concept stock, Pop Mart, has seen significant stock price increases, becoming the first tenfold stock in this sector [6] - The transparency of algorithms used by major platforms is increasing, with implications for digital governance and business models [6] Group 7 - The National Development and Reform Commission has outlined measures to stabilize employment and promote high-quality economic development, focusing on effective investment and consumer support [7] - 15 out of 17 listed banks reported positive year-on-year growth in investment income for Q1 2025, with some banks showing over 100% growth [7] Group 8 - Beijing SKP is among the first stores to implement the "buy and return immediately" tax refund service, which is being expanded nationwide to enhance the consumer experience for international travelers [8]

Core Insights - The article discusses the recent trend of algorithm transparency among major Chinese internet platforms, highlighting the shift from "mysterious technology" to a more open approach in algorithm governance [1][2][5] - It emphasizes that while algorithm transparency can enhance user trust and improve platform governance, it also poses challenges to existing business models [1][4][8] Group 1: Algorithm Transparency - Douyin has publicly disclosed its algorithm for the first time, marking a significant move in the industry [2] - Other platforms like Meituan and Xiaohongshu have also initiated similar transparency measures, aiming to give users more control over algorithmic recommendations [2][3] - The trend is seen as a necessary step for internet companies to adapt to regulatory expectations and improve user engagement [1][5] Group 2: Challenges and Opportunities - The shift towards algorithm transparency is viewed as a double-edged sword, potentially disrupting established business models while also fostering a more ethical digital environment [1][3][8] - Concerns about issues like "information cocoon" and "big data discrimination" have prompted regulatory scrutiny, leading to a new governance framework for platform algorithms [5][6] - The article suggests that platforms must balance algorithmic efficiency with ethical considerations to avoid negative societal impacts [7][8] Group 3: Industry Implications - The article notes that algorithm governance will be a critical focus for internet companies by 2025, as they navigate the complexities of user trust and regulatory compliance [1][5] - It highlights the need for platforms to rethink their underlying logic and user expectations in light of algorithmic changes [8] - The consensus among industry experts is that algorithm transparency should not only meet regulatory demands but also enhance the overall user experience and societal values [4][8]

Core Viewpoint - HuoLaLa has become the first freight platform in the industry to publicly disclose its algorithms, indicating a shift towards sustainable development and social value orientation in the digital freight sector [1][4]. Algorithm Transparency - The announcement includes the establishment of an Algorithm for Good Committee, led by HuoLaLa's founder and CEO Zhou Shengfu, which will oversee the platform's algorithm rules and optimization mechanisms [1][9]. - The core algorithm for order distribution is based on a "first come, first served, nearby matching" principle, with 90% of orders being allocated to drivers based on proximity to the order's starting point [3]. Driver Income and Fairness - HuoLaLa has adjusted its algorithm to reduce commission fees and increase order fees, committing 200 million yuan in subsidies to drivers from 2023 to 2024 to promote order completion [4]. - The platform has eliminated discriminatory pricing practices, ensuring that all users pay the same price for identical routes at the same time, addressing concerns about "big data killing familiarity" [4]. Industry Context - The push for algorithm transparency is part of a broader trend in the logistics industry, with other platforms like Meituan and Ele.me also taking steps to ensure algorithm fairness and transparency [6][7]. - The National Market Supervision Administration has emphasized the need for increased algorithm transparency regulation, aligning with HuoLaLa's recent initiatives [6]. Future Challenges - The journey towards algorithm transparency is ongoing, with challenges such as balancing commercial confidentiality with public right to know and preventing new biases in algorithm iterations [9]. - A multi-stakeholder collaboration mechanism is essential for the continued advancement of algorithm transparency, requiring ongoing innovation in smart tools, legal framework improvements, and social participation [9]. Broader Implications - The movement towards algorithm transparency not only impacts the freight industry but also sets a precedent for corporate responsibility in the digital age, promoting a model of "technology for good" [10].