Core Viewpoint - The article highlights the increasing prevalence of intrusive "full-screen ads" in mobile applications, particularly during major shopping events like "Double 11," which disrupt user experience and infringe on consumer rights [1][2][3]. Group 1: User Experience and Privacy Concerns - Many commonly used mobile apps exhibit issues where slight movements or accidental touches lead to automatic redirection to e-commerce apps, often without clear user consent [1][2]. - The sensitivity settings of these apps are often adjusted to a level that makes it difficult for users to control or even perceive their actions, leading to unintended app launches [2]. - Some apps collect user browsing history and search data in the background to create user profiles for targeted advertising, raising significant privacy concerns [2]. Group 2: Regulatory Response and Industry Accountability - The Ministry of Industry and Information Technology (MIIT) issued a notice in February 2023, mandating that apps provide clear and effective close buttons for pop-up ads and avoid frequent interruptions to user experience [2][3]. - The Hangzhou Yuhang District Market Supervision Administration has begun investigating reports related to these intrusive ads, indicating a growing regulatory response to protect consumer rights [2][3]. - E-commerce platforms, while not the direct publishers of these ads, bear responsibility as beneficiaries of the traffic generated by such advertising practices, emphasizing the need for ethical advertising standards [3]. Group 3: Long-term Implications for the Industry - The article warns that aggressive competition through unethical advertising practices will ultimately erode consumer trust and loyalty, which are essential for sustainable growth in the e-commerce sector [3]. - Social media, short video, and news platforms must take proactive measures to comply with advertising laws and protect user information to maintain their user base [3]. - A collaborative effort is necessary to eliminate "advertising pollution" in the mobile internet space, ensuring a better user experience [3].

老铁们，刚做产品时谁不是满怀理想？结果发现，天天就是画原型、写文档。 第一步：掀翻心态的桌子，别让"我不行"拖垮你 咱们先聊点走心的，很多产品人干到后面，最先垮掉的不是能力，是心态。特别是当你看到身边同事指 点江山、口若悬超，而自己连个小需求都推动得磕磕绊绊时，那种自我怀疑能把人淹没。 "我是不是根本不适合干产品？"，"我是不是太笨了？"这种念头一旦出现，就会像病毒一样侵蚀你的自 信。 不是被业务部门催，就是跟开发团队争。钉钉一响，心里就慌。 加班到半夜，回想这一天：上午记需求，下午写文档，晚上被拉去开会，只能不停说"行""好""我想办 法"。 日子久了，感觉自己就是个传话的。老板嫌你没想法，开发觉得你瞎指挥，业务说你不懂实际。 最憋屈的是，自己都怀疑：整天忙忙碌碌，到底在忙啥？除了画图写文档，还会啥？ 别慌，很多人都这样。不是你的问题，是方法不对。今天咱们说点实在的，聊聊怎么从听令办事，变成 能拍板做主的人。 你得先明白一个反常识的真相：感到"我不行"，恰恰说明你在进步，你在见识到更广阔的世界后，对自 己产生了更高的要求。真正没救的，是那些每天混日子，还觉得自己天下无敌的人。 那怎么把这种内耗转化成动力？ ...

Group 1 - The article discusses the impact of technological advancements, particularly artificial intelligence (AI), on gender equality, highlighting the potential for AI to bridge gender gaps while also addressing inherent biases within algorithms [1][2] - It emphasizes that data used in AI systems often reflects male biases, leading to inadequate representation of women's health issues in clinical trials and AI-driven medical decisions [2][4] - The article points out that the gender disparity in AI-related fields contributes to algorithmic biases, with only 28.2% of individuals in STEM fields being women, and many AI practitioners unaware of gender bias issues [5][7] Group 2 - The article highlights the need for awareness and training among AI developers to mitigate gender biases in algorithm design, suggesting that companies should create inclusive environments for women in tech [7][10] - It discusses the challenges of distinguishing between "preference" and "bias" in algorithmic recommendations, particularly in e-commerce, where gender-based targeting can lead to discriminatory practices [8][9] - The article calls for regulatory measures to ensure gender equality in AI applications, referencing specific laws and guidelines aimed at preventing discrimination in algorithmic processes [12][13] Group 3 - The article suggests that a multi-faceted approach is necessary to address gender bias in AI, including algorithm optimization and regulatory oversight [10][14] - It mentions the importance of using statistical methods to test for gender bias in algorithms and the need for continuous updates to algorithms by developers to address potential biases [13][14] - The article concludes with recommendations for data handling and model training to ensure fairness and reduce bias in AI systems [14]

美国人竟然熬夜刷中国电商Ap p囤货！ 本期《财经早察》来拆解中国电商Ap p在美国一夜爆火的原因。 出品：财经早察工作室 总统筹：邓红辉 执行统筹：陈晨星 祝乃娟 主播：董静怡 编辑：洪晓文，陆跃玲，曾婷芳 设计：王冰 本期编辑 金珊 苹果、特斯拉难了？美国关税战反噬巨头产业链 6G要来了！下一个万亿赛道？ 美债风波背后是美元信用危机 SFC 21君荐读 谁能想到，一场美国发起的关税大战，反而让中国的2个电商平台在美国一夜爆红。最近，跨 境B2B平台敦煌网和淘宝突然冲上美国Ap p St o r e下载榜前两名，甚至把Ch a tGPT都挤到了身 后。 ...