"看广告的时候，时间好像总是过得很慢。" 有一种心理现象叫"时间错觉"，即人们在做不喜欢的事情时，总是觉得时间过得很慢。不过，在看互联 网广告时，时间过得慢可能并不是错觉。 红星资本局调查发现，多个互联网平台标识为80秒、120秒的广告，实际播放时间皆多于标明时长。互 联网广告正在悄悄"偷走"用户的时间。 实测：多个视频平台"偷"时间 广告实际播放时长比标明时长多4秒 近日，有网友发现：互联网上出现了一种新型"鬼秤"。某些平台在播放广告时，广告页面的倒计时与真 实世界的时间流速不一致，广告的实际播放时间多于其标明的倒计时。 8月28日，红星资本局进入优酷视频App，点击观看电视剧《献鱼》，跳出的广告画面右上角标识 为"119秒 | 会员可关闭此广告"。 对优酷视频App中广告的计时 红星资本局对上述广告播放过程进行了录屏，全程网络流畅，广告画面无卡顿，但右上角的数字标识与 现实中的时间秒数流逝逐渐不一致，最终，该广告共播放123秒。 同时，红星资本局把上述广告录屏放入视频编辑器再次确认，广告时长共计123秒。 8月末，红星资本局对优酷视频、芒果TV和爱奇艺等长视频平台进行测试，发现：这些平台的广告实际 播放时 ...

Core Insights - The article discusses the significant transformation of China's advertising industry over the past decade, highlighting the dual growth in scale and quality under the new Advertising Law [2] - It emphasizes the shift towards a "smart" advertising ecosystem driven by advanced technologies, marking a transition from traditional advertising methods to data-driven, automated systems [3][4] Group 1: Industry Evolution - The advertising industry has transitioned from basic digitalization to deep "smart integration," with mobile internet proliferation leading to a shift from display logic to personalized interaction [4] - The rise of new business models such as digital advertising, social advertising, video advertising, and content e-commerce has become the main engine for industry growth [5] - Major platform companies like Alibaba, ByteDance, and Tencent have embedded advertising deeply within their technological frameworks, creating a closed-loop ecosystem that enhances precision and real-time capabilities [5] Group 2: Technological Impact - The integration of big data, cloud computing, and algorithmic models has upgraded programmatic buying, user profiling, and performance optimization [4] - The emergence of AIGC, semantic recognition, and emotional perception technologies has led to a new phase of advertising characterized by automation, customization, and semantic resonance [4] - Advertising is evolving into a "smart communication system" that combines content generation, user perception, and intelligent decision-making, becoming a key node in the smart society [4] Group 3: Talent and Skills - The structure of advertising professionals is evolving, with a demand for talent that possesses a combination of data analysis, programming, and algorithmic skills, reflecting the new standards in the smart advertising industry [7] Group 4: Social Role of Advertising - Advertising's role has expanded from a commercial tool to a mechanism for cultural construction, social mobilization, and even national governance, particularly in digital public welfare communication [8] - The article highlights the importance of advertising in guiding social behavior and reshaping public discourse, positioning it as a critical support mechanism for cultural security and social governance [8] Group 5: Future Outlook - The future of advertising will see deeper integration into various sectors such as education, healthcare, and emergency response, becoming a foundational infrastructure for societal operations [8] - The article calls for a shift from "technology-driven" to "responsibility-driven" governance in the advertising ecosystem, emphasizing the need for transparent algorithms, data boundaries, and ethical frameworks [12]

Core Viewpoint - The article discusses the significant transformation of China's advertising industry over the past decade, emphasizing the shift towards a "smart" and data-driven advertising ecosystem, driven by technological advancements and regulatory improvements [1][2]. Group 1: Evolution of Advertising Industry - The advertising industry in China has transitioned from basic digitalization to deep "data-intelligence integration," marked by the rise of mobile internet and platforms like Weibo and WeChat, leading to a shift from display logic to scenario-based, personalized interactions [4]. - By 2016, mobile advertising revenue surpassed PC advertising for the first time, indicating a historic shift in media focus [4]. - The integration of big data, cloud computing, and algorithm models has led to significant upgrades in programmatic buying, user profiling, and performance optimization [4][5]. Group 2: Technological Integration - The advertising industry is evolving from a traditional service model to a key node embedded in the logic of smart social operations, fundamentally reshaping its strategic position in the economy, culture, and governance systems [2][5]. - The emergence of new business models, such as digital advertising, social advertising, video advertising, and content e-commerce, has become the main engine for industry growth [7]. - Major platform companies like Alibaba, ByteDance, and Tencent have integrated advertising deeply into their technological frameworks, creating a closed-loop ecosystem that enhances precision, programmability, and real-time capabilities [7]. Group 3: Structural Changes and Challenges - The advertising workforce is evolving, requiring professionals to possess a combination of skills in data analysis, programming, and algorithm application, leading to a new standard for talent in the data-driven advertising industry [8]. - The role of advertising is expanding beyond commercial promotion to include cultural construction, social mobilization, and even national governance, indicating its growing importance in societal functions [10][11]. - The rise of algorithm-driven advertising systems has introduced structural risks, including data privacy concerns and the opacity of algorithmic decision-making, which could lead to increased costs for smaller advertisers [13][14]. Group 4: Future Outlook - The future of advertising is expected to be characterized by deeper integration of technologies like AIGC, emotional computing, and virtual personas, embedding advertising into various critical societal functions [11][12]. - The industry must transition from a "technology-driven" approach to a "responsibility-driven" model, focusing on algorithm transparency, data boundaries, and ethical frameworks to ensure a sustainable advertising ecosystem [16]. - A balanced and sustainable advertising ecosystem will require dynamic adjustments between institutional updates, industry rules, and value orientations, aiming for high-quality development paths that are responsible and sustainable [16].