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“打表去内蒙”视频上线后, “完美婆娘”商标被抢注
Yang Zi Wan Bao Wang· 2025-10-10 13:47
假日期间粉丝数大涨。 "人生需要策马奔腾"是该博主出圈的一句经典台词。 □ 进入橱窗 ●有上新 > 最新作品 你要打车去新疆哦 路向北之内蒙古 参居在要铺味起来 ♡ 55.4万 ♡ 1.4万 相关百科 近日,重庆博主"完美婆娘"在国庆假期期间的一段"打表去内蒙古"视频引发网络热议。视频中,她在街头搭乘出租车,从重庆沙坪坝一路前往内蒙古,出 租车计价器数字不断跳动的画面迅速出圈。 完美婆娘:泛生活领域抖音创 ... 完美婆娘,抖音短视频创作者,自2 (20 年1月5日开始在抖音平台 发布视频 .. 校对 胡妍璐 245万粉丝。 网友@企鹅空也_评价道:"她踩冲浪板从嘉陵江下去160km到涪陵,一般网红模仿不来的。支持我们重庆婆娘!"网友@默默大夜猫说:"她视频还蛮鲜活 有趣的(到目前为止是这样),而且是真的社牛,哈哈哈!"网友@z002财斧哥则提出质疑:"噱头而已!" 记者从社交平台了解到,这条短视频,为"完美婆娘"带来了7.31万的涨粉,其账号在视频平台上的粉丝总数已超过240万。更引人关注的是,随着人气飙 升,其商业价值也水涨船高。第三方平台数据显示,她目前1-20秒视频广告预估报价为6万元,21-60秒及 ...
千万粉丝网红“蓝战非”抖音、小红书账号被禁止关注,曾自曝年收入达九位数,近期注销名下多家公司
Qi Lu Wan Bao· 2025-09-25 09:31
9月25日,记者搜索发现千万粉丝网红蓝战非抖音、小红书平台账号被禁止关注。 作品 300 ▼ 櫥窗 VLOG 246 VLOG 247 VLOG 248 o o o o o o o o o o o . 最大利 #用风 EV 蓝战非 小红书号:49447942488 IP属地:湖南 1 加入团队@长沙聚云白昼传媒 湖南长沙 33 සි | | 13.0万 | 27.2万 | | --- | --- | --- | | 关注 | 粉丝 | 获赞与收藏 | 粉丝 获赞与收藏 笔记 收藏 司 环球篇 > 该用户被禁止关注 私信 | 122 | move = | | | | --- | --- | --- | --- | | C | 2小时前 来自 iPhone 17 Pro Max | | | | | | ◎ 蓝战非超话 好久没玩微博了,这句话我是很久之前讲的,现在空降热搜第一, | | | | emmm | | | | | 我这都要被网暴吗? | | | | | 7 1 | 团 70 | 14 96 | 第三方数据显示,"蓝战非"某视频平台粉丝量达2478.8万,近30日涨粉超61万,商业化水平显示其1S-20S、 ...
多个视频平台被指偷时间!优酷多4秒芒果爱奇艺多3秒
Sou Hu Cai Jing· 2025-09-08 02:14
Core Viewpoint - Internet advertising platforms are reportedly extending the actual playback time of ads beyond the indicated duration, effectively "stealing" users' time [1][3][20]. Group 1: Findings from Video Platforms - A survey by Hongxing Capital found that platforms like Youku, Mango TV, and iQIYI have ads that play longer than the time displayed [3][20]. - On Youku, an ad marked as 119 seconds actually played for 123 seconds, resulting in a 4-second discrepancy [5][7]. - Mango TV's ad labeled as 80 seconds played for 83 seconds, leading to a 3-second overrun [8][10]. - iQIYI's ad marked as 120 seconds played for 123 seconds, indicating a 2-3 second excess [12][14]. Group 2: Responses from Platforms - Customer service from Youku acknowledged the issue but did not provide a clear resolution [7]. - Mango TV claimed that the discrepancy was due to loading and buffering times, asserting that the ad duration was aligned with the actual content [11]. - iQIYI's response suggested that users should rely on the front-end display, without addressing the timing issue directly [17]. Group 3: Legal Interpretations - Legal experts argue that the misrepresentation of ad durations constitutes false advertising and violates consumer protection laws [20][21]. - The discrepancy in ad timing can mislead consumers regarding the effective duration of the advertisement, infringing on their rights [21][22]. - The lack of clear units (like "seconds") in the countdown may lead to consumer confusion, further complicating the legal standing of these practices [22][23].
从技术跃迁到规则重塑:智能浪潮中的中国广告业新图景
3 6 Ke· 2025-07-17 12:22
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]
从技术跃迁到规则重塑:智能浪潮中的中国广告业新图景
腾讯研究院· 2025-07-17 09:54
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].