Core Viewpoint - The article highlights the challenges and needs of new employment groups in Jinan, focusing on their social security, legal rights, and integration into urban life, while exploring solutions to enhance their legal protections and overall well-being [3][4][8]. Group 1: Social Security and Legal Support - Jinan has established 21 legal service contact points to provide accessible legal assistance to new employment groups, addressing their unique needs due to high mobility and concentration [4]. - In 2023, these contact points have provided legal consultations and assistance 296 times, with 45.6% related to social security issues [4]. - The lack of formal labor contracts and social security coverage for gig workers, such as delivery riders, has led to significant concerns about their long-term welfare [4]. Group 2: Transparency in Platform Operations - Drivers in the ride-hailing sector express concerns over opaque commission structures, with platform fees ranging from 20% to 27%, impacting their earnings [6]. - The Ministry of Transport's initiative requires platforms to disclose commission rates, yet many drivers still find the rules unclear and inconsistent [6]. - The disparity in pricing between traditional taxis and ride-hailing services raises questions about fair competition and cost distribution among drivers [6]. Group 3: Community Integration and Support - Jinan has formed associations for various new employment groups, fostering a sense of belonging and providing a platform for addressing industry challenges [7]. - Community initiatives, such as summer care programs for children of gig workers, demonstrate a commitment to supporting the personal lives of these workers [7]. - The city has engaged 810 riders as community grid workers and 166 as food safety supervisors, promoting active participation in local governance and community service [7].

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 ...

Core Viewpoint - The Central Committee's proposal emphasizes the promotion of new mass arts under internet conditions, encouraging widespread cultural activities and creative participation from the public [1] Group 1: Development of New Mass Arts - The proposal aims to support and guide the development of new mass arts, leveraging the creativity and innovation emerging from the internet [1] - The rise of new mass arts is attributed to improved living standards and the deepening of information technology, leading to unprecedented public engagement in artistic creation [1] Group 2: User Engagement and Market Trends - By June 2025, the user base for short videos and micro-dramas in China is projected to reach 1.068 billion and 626 million, respectively [1] - There is a concern regarding creators prioritizing short-term commercial gains, resulting in trends of superficial entertainment and homogenization [1] Group 3: Research and Development Ecosystem - It is suggested to enhance research on the development patterns, value logic, and ethical technology use in new mass arts to create a favorable development ecosystem [2] - Emphasis is placed on the importance of quality in new mass arts, focusing on meeting the spiritual and cultural needs of the public [2]

Core Points - The first national platform algorithm and labor rules agreement in the food delivery industry was established by Ele.me, focusing on the rights and welfare of delivery riders [1][3] - The agreement will benefit over 4 million urban riders, addressing issues such as rest, remuneration rights, and optimizing delivery algorithms [3][7] Group 1: Agreement Details - The agreement includes provisions for labor remuneration, rest and vacation rights, labor protection, and welfare guarantees [7][9] - The platform ensures that the hourly remuneration for delivery riders will not be less than the local minimum wage, taking into account local CPI and average hourly wages [7][9] - The platform will gradually eliminate penalties for exceeding delivery time, promoting positive incentives and enhancing safety and efficiency [7][9] Group 2: Welfare and Insurance - The agreement introduces nationwide coverage for pension and medical insurance subsidies for riders, marking a first in the industry [9] - By the end of 2025, the platform will subsidize at least 50% of insurance costs for stable riders, with full subsidies for team leaders and honor riders [9] - The platform's data indicates that the average weekly order volume for Taobao Flash Delivery reached 80 million in August, with over 200,000 active riders daily, contributing to job creation [9]

Core Insights - The article discusses the challenges and developments in algorithm governance, particularly in addressing issues like information silos and viewpoint polarization caused by recommendation algorithms [1][2][3] - It highlights the ongoing efforts by the Central Cyberspace Administration of China to optimize algorithm functions and enhance transparency, including the introduction of features like "cocoon assessment" and "one-click breaking the cocoon" [1][2] - The article emphasizes the need for continuous innovation in regulatory concepts and technologies to effectively manage algorithmic governance [3] Group 1: Algorithm Governance Challenges - The "Cocoon Room" phenomenon and viewpoint polarization are significant risks associated with algorithm recommendations, prompting regulatory actions [1] - The rapid growth of internet users, reaching 1.259 billion with an average usage time of over 175.8 hours per month, highlights the increasing influence of platforms and the challenges in governance [2] - Experts predict that platforms may assume quasi-legislative, quasi-judicial, and quasi-administrative powers, complicating oversight efforts [2] Group 2: Regulatory Innovations - The Central Cyberspace Administration has made strides in algorithm governance by publicly releasing hundreds of algorithm registration details [1][2] - A collaborative governance mechanism involving government, enterprises, media, research institutions, and users is essential for effective oversight [3] - The establishment of a multi-party algorithm governance experimental verification platform is proposed to enhance transparency and accountability in algorithmic processes [3]