Group 1 - The article discusses the rise of self-media platforms as a trend for individuals to express opinions and build personal brands in the current era [1] - It provides a systematic overview of the top ten mainstream self-media platforms, highlighting their unique characteristics and suitability for different content types [3][5] Group 2 - The article outlines popular content types suitable for self-media platforms, including deep reviews, practical tutorials, and personal growth stories, which are effective in attracting audience engagement [5][11] - It emphasizes the importance of selecting the right platform for specific content types to maximize exposure and engagement [5] Group 3 - A method for efficient multi-platform submission is introduced, recommending the use of Yunyou City, which offers a comprehensive self-service submission service with a vast media resource pool [7] - The article addresses common questions regarding submission processes, including typical review times and the possibility of submitting the same content to multiple platforms [9][10]

视觉中国供图 受访者对社交媒体平台改进有哪些期待： 提供更多个性化内容管理工具（如关键词屏蔽、时间提醒） 43.79% 其他 0.11% --------------- 对于海南大学国际经济与贸易专业的大三学生汪涵而言，社交媒体平台满足了她的社交需求，也承载着 她的情感共鸣。但这种陪伴并不总是愉悦的，比如："突兀的广告植入时常打断沉浸式的浏览体验。" 袁浩宁是一名就读于天津理工大学机械电子工程专业的大二学生，日均社交媒体使用时长超过4小时。 虽身处短视频洪流之中，他却偏向于自己搜索信息，而非接受算法定向"投喂"。 加强内容审核，减少虚假与有害信息 77.48% 优化算法，避免信息茧房与过度推荐同质内容 69.70% 加强隐私保护功能 64.45% 完善举报/审核机制 60.55% 提供防沉迷工具 43.51% 减少广告推送频率 59.26% 为了更好地了解大学生群体的社交媒体使用习惯及其影响，中国青年报·中青校媒近期面向全国高校大 学生发起问卷调查，共回收有效问卷1772份。调查结果显示，微信（90.69%）是大学生最常使用的社 交平台。此外，抖音、B站等视频平台（72.18%）、QQ（56.94%）、小红书 ...

Core Viewpoint - The implementation of the "Identification Method for AI-Generated Synthetic Content" has led to a requirement for explicit labeling of AI-generated content across various platforms, with varying degrees of compliance observed among different applications and content dissemination platforms [1][2][6]. Group 1: AI Application Compliance - Ten generative AI applications, including Tencent Yuanbao and DeepSeek, have successfully implemented labeling for generated text, images, and videos as per the new regulations [1][2]. - The labeling styles for generated images and videos are generally consistent, often located in the upper left or lower right corners, and remain visible after downloading [4]. - Some applications, like Quark and Doubao, provide additional labeling upon download, enhancing visibility [4]. Group 2: Content Dissemination Platforms - Ten content dissemination platforms, including WeChat Video Number and Douyin, have introduced user self-declaration features, allowing users to label AI-generated content [5]. - However, the accessibility of these self-declaration features varies, with some platforms making it difficult for users to find and utilize them effectively [5]. - Platforms like Douban and Bilibili have shown promptness in adding significant labels to content suspected of being AI-generated, while others like Weibo and Zhihu have room for improvement in their automatic recognition capabilities [6]. Group 3: Expert Recommendations - Experts suggest that the successful implementation of the identification method requires collaboration among various stakeholders to enhance the detection and management capabilities of AI-generated content [7]. - Continuous improvement in technical capabilities and inter-platform cooperation is essential to avoid regulatory gaps and ensure compliance with the identification requirements [7]. - Strengthening user awareness regarding the importance of labeling AI-generated content is crucial for fostering a culture of transparency and accountability in information dissemination [7].

Core Concept - Tencent Research Institute introduces the concept of "Information Hive" to counter the "Information Cocoon" phenomenon, emphasizing active user participation in a collaborative information ecosystem [1][20]. Group 1: Characteristics of Information Hive - The "Information Hive" promotes diverse information sources, allowing users to navigate multiple channels rather than being limited to algorithmic recommendations [3][13]. - It encourages strong user agency, enabling users to actively explore and select information rather than passively consuming content [4][5]. - Collaborative construction is emphasized, where users not only consume but also create, disseminate, and evaluate information, shaping the ecosystem collectively [6][7]. Group 2: Design and Functionality of Information Products - Effective information products should facilitate user-generated content, ensuring diverse perspectives are included in the ecosystem [8][10]. - The design should promote interconnectivity among different "hives," allowing free flow of information rather than being restricted by algorithms [9][10]. - Technical measures such as open APIs, cross-platform tools, and standardized content formats are essential for enhancing information accessibility and interaction [10][11]. Group 3: User Behavior and Engagement - Users should be guided towards proactive exploration and utilizing multiple entry points for information, avoiding reliance on a single information stream [12][21]. - Encouraging community collaboration and feedback mechanisms can enhance user engagement and knowledge sharing across different platforms [11][12]. - The focus should be on creating a dynamic, responsive information ecosystem that adapts to user needs and promotes long-term knowledge accumulation [20][22]. Group 4: Examples of Information Hive Products - Wikipedia exemplifies an "Information Hive" product with its open collaborative editing model, allowing users to contribute and access knowledge freely [13]. - Quora and Douban serve as platforms that encourage active user participation and diverse knowledge sharing through community interactions [14][15]. - Reddit functions as a network of diverse communities, enabling users to engage in discussions and share information across various topics [15][16]. Group 5: Future Directions - The concept of "Information Hive" is still in its early stages and requires further empirical research to solidify its theoretical foundation and practical applicability [20]. - The optimization of information ecosystems should focus on enhancing user agency, promoting diversity in content, and fostering collaborative knowledge creation [21][22].

Core Viewpoint - The discussion around the acquisition of Hupu is misguided, particularly in comparing it to Xiaohongshu, as it overlooks the impact of the era in which Hupu was established [1] Group 1: Historical Context of Hupu - Hupu was founded in 2004 as a vertical interest site, primarily focused on basketball, during a time when content platforms and communities were not yet conceptualized [2][3] - The internet in that era was characterized by a tool-oriented mindset, where users sought specific information quickly due to slow internet speeds [8][10] - Hupu's content specialization was appropriate for its time, as users expected clear categorization of content to find what they were interested in [7][12] Group 2: Challenges Faced by Hupu - Hupu, along with other vertical sites, faces significant challenges in the current era due to changing user expectations and the nature of content consumption [12][19] - The reliance on imported content from foreign leagues, such as the NBA, poses a risk, as fluctuations in these leagues can directly impact Hupu's relevance and user engagement [14][20] - Unlike platforms like Xiaohongshu, which are built on local user needs, Hupu's model is heavily dependent on external factors, making it vulnerable to market changes [19][21] Group 3: Comparative Analysis with Other Platforms - Other platforms like Bilibili have successfully transitioned from niche communities to broader content platforms, showcasing adaptability that Hupu has yet to achieve [27] - Hupu's situation is exacerbated by the decline of the NBA and CBA, which diminishes its core content offering and user interest [24] - The evolution of user engagement from a purpose-driven approach to a more casual browsing experience complicates Hupu's ability to retain its original audience [9][11]

Core Points - The article discusses the increasing complexity of managing personal information across various internet accounts and the emergence of new standards like Passkey to simplify registration and login processes [1][3] - It highlights the dual nature of third-party account authorization, such as OAuth 2.0, which simplifies user registration but also raises privacy concerns [3][4] - The article emphasizes the importance of understanding and managing authorized logins to protect personal information [4][32] Group 1: Third-Party Authorization Systems - OAuth 2.0 has been widely adopted since its inception in 2006, facilitating services like "Sign in with Apple" and "Sign in with Google" [3][4] - Apple has actively promoted privacy protection through its "Sign in with Apple" feature, which allows users to manage their authorizations transparently [4][5] - Google offers a similar service with "Sign in with Google," providing users with options to manage their authorized apps and services [7][8] Group 2: Privacy Management by Major Companies - Microsoft provides a straightforward management interface for its account authorizations, although its usage scenarios are less extensive compared to Apple and Google [10][11] - Meta (formerly Facebook) maintains a significant presence in social media, allowing users to manage third-party authorizations through its app and website [12][13] - Domestic platforms like QQ and WeChat offer relatively transparent management of third-party authorizations, though the process may not be as user-friendly as that of Apple or Google [14][15] Group 3: Challenges in Authorization Management - WeChat's approach to managing authorizations for mini-programs is less clear, making it difficult for users to manage their data effectively [15][16] - Alipay provides a more intuitive management system for third-party app authorizations compared to WeChat, but still lacks bulk management options [18][20] - Sina Weibo presents significant challenges in managing third-party authorizations, with users unable to view or revoke their authorizations easily [20][22] Group 4: Regulatory Developments - The Ministry of Industry and Information Technology (MIIT) in China has introduced services like "One Certificate to Check 2.0," allowing users to query the number of internet accounts linked to their phone numbers [32][35] - The "Second Number Renewal" service aims to enhance personal information security by allowing users to unlink accounts associated with previous phone numbers [35]