Core Insights - A significant shift in traffic rules is occurring due to the "Clear Action" initiated by the Central Cyberspace Administration of China, leading to collective actions by platforms like Douyin, Xiaohongshu, Weibo, Kuaishou, WeChat Video Account, and Bilibili to enhance algorithm transparency and user empowerment [1][3] Group 1: Algorithm Transparency and User Empowerment - Platforms are enhancing algorithm transparency by publicly disclosing operational rules and promoting user awareness of recommendation logic and intervention mechanisms [3] - Douyin has launched a Safety and Trust Center and organized open days to explain its recommendation logic and governance outcomes [3] - Weibo has improved the transparency of its trending algorithms by publicizing ranking rules and introducing trending heat tags to indicate underlying factors [3] Group 2: Content Recommendation Optimization - WeChat Video Account has introduced user-friendly materials to explain its algorithm recommendations and launched features to help users avoid "information cocoons" [3] - Douyin has upgraded its management assistant and introduced content preference evaluation features to visualize users' recent browsing activities [3] - Xiaohongshu has implemented content preference evaluation and adjustment features to facilitate user access to diverse recommended content [3] Group 3: Positive Content Promotion and Risk Mitigation - Kuaishou is leveraging positive algorithms to enhance the discovery of uplifting and trustworthy content, ensuring that such content is prominently featured in recommendations [3] - WeChat Video Account has developed a dual mechanism for friend recommendations and algorithm recommendations to continuously improve its identification and suppression models for inappropriate content [3] - Douyin has introduced a verification mechanism to prevent malicious behaviors such as staged content and misleading edits [3] Group 4: User Control and Feedback Mechanisms - Platforms are continuously optimizing features for interest preference management and content feedback to allow users to adjust algorithmic recommendations [3] - Kuaishou provides users with detailed interest preference management tools, enabling them to adjust the intensity of content recommendations based on personal preferences [3] - Weibo has introduced various negative feedback options for users to express disinterest, ensuring a more precise response to user needs [3] Group 5: Future Trends in Internet Traffic - By 2025, the internet platform traffic competition is expected to evolve into a more intricate phase, characterized by accelerated rule iterations, diversified user mindsets, and technological disruptions [3]

前不久，国家网信办指导地方网信办依据有关规定，对部分平台采取了约谈、警告、从严处理责任 人等处置处罚措施。从通报情况看，问题集中于部分平台的热搜榜单主榜高位出现不良信息以及破坏网 络生态等情况。 在网络舆论盛行的当下，热搜榜不仅是用户获取信息的重要渠道，还有着风向标作用，是塑造年轻 人认知、影响舆论走向的重要工具。然而，部分平台的热搜榜却"跑偏"了，常年被明星活动及绯闻霸 榜，相关词条成为明星团队营销、粉丝追捧甚至相互攻讦的阵地。更有甚者，将涉黄、涉暴等极端内容 当作引流推手，大肆传播"小道消息"。涉黄涉暴、娱乐八卦内容长期霸占热搜榜，夺走了用户的注意 力，挤占了公共议题的传播空间，也成为滋生饭圈文化等不良风气的土壤。 此前，北京市网信办曾推动几家属地主要网络平台公示算法规则原理，引发关注。公示算法，尽可 能降低理解门槛，提高算法透明度，是为了让公众看得明白，形成真正有效的监督，推动平台企业在关 注公共议题、传播正能量价值观、营造清朗讨论空间等方面有所作为。 在治理环节，应督促平台在设计算法时兼顾商业价值与公众利益。一方面，算法推荐不能失之 于"滥"，娱乐、猎奇内容不应泛滥，更不能将严肃话题娱乐化。另一方面， ...

凤凰网科技讯 北京时间8月1日，据科技网站TheVerge报道，美国马萨诸塞州民主党参议员埃德·马基(Ed Markey)起草法案，寻求以合法方式取消对TikTok的禁令。 2024年，美国国会通过了所谓的"不卖就禁"法案，并由时任总统拜登签署成为法律。该法律要求字节跳 动出售TikTok美国业务，否则TikTok在美国就会被禁。不过，美国总统特朗普上任后已三次给予TikTok 宽限期，并要求苹果、谷歌继续在应用商店提供TikTok下载。 这一法案相当于为TikTok禁令设立了一个"豁免条款"，提出了两大核心要求：算法透明度要求和数据访 问限制。 算法透明度要求包含了四点细节：TikTok必须开放研究者数据访问权限、公众数据访问放权、 研究"免 责保护"以及透明度报告。在数据访问限制要求中，TikTok必须将美国用户的个人信息存储在位于美国 境内的物理服务器上，不得将这些信息传输给外国敌对国家。(作者/箫雨) 现在，参议员马基呼吁寻找一种新的方式，在不违反法律的前提下避免TikTok禁令。根据马基起草的 《TikTok透明度与数据安全法案》，他呼吁允许TikTok继续在美国运营，只要TikTok在内容审核方面 ...