网信、公安重点整治AI造假、挑动负面情绪等乱象 中新网10月10日电 据"网信中国"微信公众号消息，9月网络谣言主要集中在公共政策、灾情汛情、社会 民生等领域，伪造政策文件、虚构悲情故事、滥用AI工具编造虚假灾情，侵害民众权益、扰乱公共秩 序。网信、公安等部门严厉打击造谣传谣行为，持续净化网络环境。 有不法分子编造"2025年国家薪资补贴申领认证通知"，以"国家补贴"为幌子，诱骗群众点击链接，套取 实名信息实施诈骗。所谓"中国三农"投资理财APP，冒用农业农村部名义，伪造部委公文，以定期分 红、到期返还收益为诱饵，开展非法集资活动。还有人以"扩大内需""国家项目"为噱头，发布"参与国 家项目获荣誉证书和政绩补贴"等不实信息，严重侵害群众财产安全。 9月，涉汛、涉灾害类谣言多发。有自媒体发布"广东或遭遇人类最大台风灾害"的信息，夸大事实、制 造恐慌，据中央气象台数据，"桦加沙"远远达不到"史上最强台风"等级。随着"桦加沙"台风逼近广东沿 海地区，社交平台上出现多张所谓"深交所门前牛雕塑被拴""车辆被五花大绑"的图片，均被证实系AI合 成。河南发生区域性暴雨天气期间，多个账号发布"郑州9月16日遭大暴雨，比7.2 ...

悲情故事类谣言也时有发生。有自媒体为博眼球、吸流量，策划拍摄"大凉山姑娘被拐24年后回到亲人 身边"的视频。另有编造"中国籍女子嫁到外国贫民窟求助回国"剧情，用苦情戏码吸引网民、博取关 注。这些行为欺骗网民感情，渲染负面情绪。 中央网信办近日部署开展"清朗·整治恶意挑动负面情绪问题"专项行动，重点整治挑动群体极端对立情 绪、宣扬恐慌焦虑情绪、挑起网络暴力戾气、过度渲染消极悲观情绪等问题。同时，网信部门针对微 博、快手、今日头条、UC等平台未落实信息内容管理主体责任，依法查处上述平台破坏网络生态案 件。公安机关依法打击造谣传谣违法行为，假冒官方名义编造虚假项目、传播"大凉山姑娘被拐24年后 回到亲人身边""中国籍女子嫁到外国贫民窟求助回国"等造谣传谣者已被依法处罚。 央视网消息：据"网信中国"公众号消息，9月网络谣言主要集中在公共政策、灾情汛情、社会民生等领 域，伪造政策文件、虚构悲情故事、滥用AI工具编造虚假灾情，侵害民众权益、扰乱公共秩序。网 信、公安等部门严厉打击造谣传谣行为，持续净化网络环境。 有不法分子编造"2025年国家薪资补贴申领认证通知"，以"国家补贴"为幌子，诱骗群众点击链接，套取 实名信息实 ...

醒目的招牌，精良的装修，坐满了食客的烟火气……一些看起来人气爆棚的"网红门面"，可能是AI生成 的。 据北京晚报报道，最近，不少网友反映，点外卖时发现平台商家照片看似精美，实则是AI生成的图 片，目的是营造门店排队的热闹氛围。这些标注"堂食"标签的"人气店"，真实面貌却是与图片悬殊的小 作坊。这引发消费者对食品安全的担忧。 AI生成技术普及以来，从声音到图片再到视频，利用AI工具皆可制造，不仅操作简单，而且成本极 低。如今一些外卖平台上有商家也利用AI制造"网红门面"，营造虚假人气，用来引流。 比如，对一家使用AI门头图并自称有"堂食店"的商家地址，记者实地探访发现，在狭小的通道里，数十 家外卖小作坊开门营业，无一家堂食店。这意味着商家使用AI造假欺骗消费者。据悉，外卖平台上不 少商家使用AI生成门头图、菜品图和封面设计，这些图片呈现的醒目招牌、精良装修以及坐满了食客 的烟火气，都是假的，与实际情况有天壤之别。 这些商家之所以使用AI伪造"网红门面"，既是为了误导、欺骗消费者，以达到引流、成交之目的；也是 因为这种造假方式成本极低。 不了解真相的消费者，被AI制造的不实图片误导、欺骗后，不仅知情权、选择权受到 ...

今年3月，国家网信办等四部门联合发布了《人工智能生成合成内容标识办法》。9月1日，这项办法就 将正式施行。其中最值得关注的是所有人工智能生成、合成的内容，必须打上标识。 客观地说，解决AI造假泛滥问题，各平台并非无动于衷。比如，社交媒体普遍升级了AI内容识别系 统，要求AI生成作品"亮明身份"。但一些人处心积虑规避平台强制标注机制，甚至有的AI起号从业者， 还在网上大肆兜售绕过平台"AI打标"的经验。未标注的AI内容频现，这也不断提醒平台，与时俱进升级 监测方式，显然还有很多工作要做。 以技术治理技术，是一条可取之道。平台层面要切实履行主体责任，比如开发更高效的内容检测工具， 结合人工审核，防止AI造假"浑水摸鱼"；同时健全辟谣机制，及时下架不实炒作内容。此外，对被侵权 人提出的删除伪造内容、赔偿损失等诉求，平台应及时处理。 近段时间，在互联网上，奥运冠军的"声音"突然开始推销农产品，知名演员的"声音"24小时不间断在直 播间与粉丝互动……这些以假乱真的AI克隆声音正成为部分自媒体博主的"流量密码"。 必须要明确，利用技术工具仿冒他人的声音带货，已经超出正常的商业营销和广告创意，是违法行为。 我国民法典第一千 ...

Group 1 - Gartner predicts that by 2028, one in four job applicant profiles will be fake, based on a survey of 3,000 job seekers, where 6% admitted to manipulating their interviews [2][5] - The rise of AI-generated deepfake images, voice synthesis technology, and chatbots is making cheating more covert and efficient, targeting remote, technical, and high-paying positions [3][5] - AI is being used as a "new engine" for fraud, allowing impersonators to present themselves as highly skilled candidates, using voice cloning and deepfake video technology to deceive interviewers [5][6] Group 2 - Companies like Google, Cisco, and McKinsey are reverting to in-person interviews to verify candidates' authenticity and skills, as remote interviews have been exploited by fraudsters [6] - The shift back to face-to-face interviews is a reluctant response to the challenges posed by AI's ability to create convincing impersonations, leading to a crisis of trust in the hiring process [6] - Gartner emphasizes the need for enhanced verification processes in recruitment, as the potential for fake candidate profiles increases significantly [6]

Core Viewpoint - A new watermark removal technology called UnMarker can effectively remove almost all AI image watermarks within 5 minutes, challenging the reliability of existing watermark technologies [1][2][6]. Group 1: Watermark Technology Overview - AI image watermarks differ from visible watermarks; they are embedded in the image's spectral features as invisible watermarks [8]. - Current watermark technologies primarily modify the spectral magnitude to embed invisible watermarks, which are robust against common image manipulations [10][13]. - UnMarker's approach targets the spectral information directly, disrupting the watermark without needing to locate its specific encoding [22][24]. Group 2: Performance and Capabilities - UnMarker can remove between 57% to 100% of detectable watermarks, with complete removal of HiDDeN and Yu2 watermarks, and 79% removal from Google SynthID [26][27]. - The technology also performs well against newer watermark techniques like StegaStamp and Tree-Ring Watermarks, achieving around 60% removal [28]. - While effective, UnMarker may cause slight alterations to the image during the watermark removal process [29]. Group 3: Accessibility and Deployment - UnMarker is available as open-source on GitHub, allowing users to deploy it locally with consumer-grade graphics cards [5][31]. - The technology was initially tested on high-end GPUs but can be adjusted for use on more accessible consumer hardware [30][31]. Group 4: Industry Implications - The emergence of UnMarker raises concerns about the effectiveness of watermarking as a solution to combat AI-generated image authenticity [6][36]. - As AI image generation tools increasingly implement watermarking, the development of robust removal technologies like UnMarker could undermine these efforts [35][36].

Core Viewpoint - The article discusses the emergence of a fabricated short drama titled "Trump Falls in Love with the White House Cleaner," which falsely claimed to have generated $150 million in revenue, highlighting the failure of media verification processes and the rise of AI-generated misinformation [1][2][4]. Group 1: Media and Misinformation - The short drama was initially reported by a self-media account, which misled readers with a sensational title that implied the existence of the drama without confirming it [4][5]. - Major platforms like ReelShort, YouTube, and Netflix showed no evidence of the drama's existence, revealing a significant gap in media fact-checking [2][4]. - The spread of this false narrative reflects a broader issue of media's responsibility in verifying facts, as some outlets failed to uphold their duty, leading to a loss of public trust [8][19]. Group 2: AI and Content Creation - The article emphasizes the role of AI in generating fake content, which lowers the cost of misinformation production while increasing its appeal [13][20]. - The ease of creating convincing fake narratives using AI raises concerns about the integrity of information in the digital age [20]. - The phenomenon of AI-generated content highlights the need for a robust mechanism to ensure the value of truthful information exceeds that of falsehoods [20]. Group 3: Economic Implications - The article outlines how the false narrative attracted significant attention, leading to a surge in traffic for fake news websites, which often outperformed reputable media in terms of engagement [14][19]. - Self-media operators benefit financially from sensational headlines and misleading content through advertising revenue and paid subscriptions [15][19]. - The article warns of a "grey industry" that profits from misinformation, where the allure of quick financial gain overshadows ethical considerations [15][19]. Group 4: Cultural and Political Context - The absurdity of the narrative raises questions about cultural perceptions and the potential manipulation of political figures for entertainment purposes [18][19]. - The blending of entertainment with political discourse can dilute the seriousness of political issues, leading to a trivialization of important topics [18][19]. - The article suggests that the propagation of such narratives may reflect deeper anxieties about cultural differences and the portrayal of political figures [18][19].

Core Viewpoint - The rise of AI technology has led to an increase in fraudulent refund claims in the e-commerce sector, with some consumers exploiting the "refund without return" policy to gain products without payment [1][2][3]. Group 1: E-commerce Refund Mechanism - The "refund without return" policy was initially designed to protect consumers in specific scenarios, but it has been misused by some buyers, leading to significant losses for merchants [2][3]. - Major e-commerce platforms have recently adjusted their "refund without return" policies, allowing merchants to handle refund requests autonomously [2][5]. - A report indicated that 50.36% of complaints from merchants on e-commerce platforms were related to "refund without return" issues, highlighting the prevalence of this problem [2]. Group 2: AI Technology and Fraud - Some consumers are using AI tools to create fake images of products to claim refunds, which has resulted in losses of 5% to 8% of revenue for affected merchants [1][2]. - Experts suggest that the misuse of AI for fraudulent activities could hinder public acceptance of new technologies and disrupt market rules [3][5]. - Recommendations include implementing AI image recognition technology and a tiered evidence submission system for refund claims to mitigate fraud [3][5]. Group 3: Legal Implications - The use of AI-generated fake content for refund claims can lead to legal consequences, including potential fraud charges if the amount involved is significant [4][5]. - The Civil Code allows merchants to demand returns or compensation for breaches of the "refund without return" agreement [4]. - New regulations regarding the identification of AI-generated content are set to take effect in September 2025, aiming to curb misuse [4][5]. Group 4: Recommendations for Improvement - A multi-faceted approach involving rule enhancement, technological countermeasures, and legal deterrents is necessary to address the issues surrounding "refund without return" fraud [5]. - E-commerce platforms are urged to establish a rapid response mechanism for AI fraud cases and to collaborate on data sharing to combat fraudulent activities effectively [5].

Core Viewpoint - The article discusses the increasing prevalence of misinformation generated by AI, highlighting the challenges posed by AI hallucinations and the ease of feeding false information into AI systems [3][10][21]. Group 1: AI Misinformation - AI hallucination issues lead to the generation of fabricated facts that cater to user preferences, which can be exploited to create bizarre rumors [3][10]. - Recent examples of widely circulated AI-generated rumors include absurd claims about officials and illegal activities, indicating a trend towards sensationalism over truth [5][6][7][8]. Group 2: Impact of Social Media - The combination of AI's inherent hallucination problems and the rapid dissemination of information through social media creates a concerning information environment [13][14]. - The article suggests that the current state of information is deteriorating, likening it to a "cesspool" [15]. Group 3: Recommendations for Improvement - AI companies need to enhance their technology to address hallucination issues, as some foreign models exhibit less severe problems [17]. - Regulatory bodies should improve their efforts to combat the spread of false information, although the balance between regulation and innovation remains delicate [18]. - Individuals are encouraged to be cautious with real-time information while relying on established knowledge sources [20].