Observed Signal · Nov 16, 2018 · Policy Update · Source: OnlineMarketing.de · Impact: 4/5 · Sentiment: Positive
Facebook: 99.6% Fake Accounts Detected Proactively
Facebook released its Community Standards Enforcement Report detailing how it handles violations on its platform and noting a rise in proactive enforcement. The company says more than 30,000 safety agents helped identify content and that proactive technology now detects violations before users report them. The report covers categories including new areas such as Bullying & Harassment and Nudity / Child Exploitation, alongside established categories like Fake Accounts, Spam, Violence, Hate Speech, Terrorist Propaganda, and adult Nudity. In Q3 2018, Facebook acted against about 63 million items in categories excluding Spam and Fake Accounts; during the same period, it removed about 1.231 billion Spam posts and 754 million Fake Accounts. The data indicate that in most categories, Facebook or its users’ reports are surpassed by proactive removals, with over 90% proactive detection in many categories, though Bullying/Harassment and Hate Speech were weaker in automation. The article notes ongoing metrics development to measure response speed and error correction.
Policy update / major platform's proactive enforcement reporting
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Key Takeaways & Evidence Grounding
- Facebook published the Community Standards Enforcement Report detailing proactive enforcement improvements.
- More than 30,000 safety agents helped identify content; proactive technology improved detection.
- Categories include Bullying & Harassment, Nudity & Child Exploitation, Fake Accounts, Spam, Violence, Hate Speech, Terrorist Propaganda, and Nudity/Adult Sexual Content.
- In Q3 2018, ~63 million items were acted on excluding Spam and Fake Accounts; 1.231 billion Spam contents and 754 million Fake Accounts were removed.
- Proactive removals exceeded user-reported removals in most categories, with over 90% proactive detection in many areas.
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Asos confirms data breach after rogue app notification
UK fashion retailer Asos has confirmed a data breach involving customers' personal information. Hackers broke into a third-party platform hosting data used for customer communications, stealing names, contact information, home addresses, phone numbers, email addresses, and customer profile notes including search queries. The hackers, calling themselves Xuanye Group, sent an unauthorized push notification through Asos' own app, referencing the compromise of data hosted on Snowflake, a cloud data platform. The notification pressured the company to engage or risk a leak. The attackers reportedly gained access by impersonating a trusted contact to obtain login credentials. Snowflake said its own systems were not breached. Asos has 17 million customers. The incident follows a similar breach at fintech firm Betterment earlier in the year.
Streaming's Cloud, AI, and the Two Market Faces
This article examines the US and UK streaming markets, highlighting their shared technological foundation in cloud and AI, but different strategic priorities shaped by regulation and market structure. The US focuses on monetization and advertising, while the UK balances public service values with commercial growth. Key trends include AI-driven personalization, the rise of agentic AI, and the shift from audience-based to moment-based advertising. Major events like the 2026 UK Media Act, Netflix's ad-tier passing 250 million users, and Sky's acquisition of ITV's media arm exemplify market-specific dynamics. The future lies in 'intelligent rebundling' where owning the customer relationship and intelligence layer is key. Cloud and media experts Rahul Bhatia and Hemant Soni discussed these differences, noting that US platforms prioritize scale, sports, and first-party data, while UK regulations shape design from the start. Architectural decisions involve designing for peaks using serverless, and AI is a revenue engine. Emerging trends include AI-generated films and potential charges for cloud storage.
AI firms hire designers to train their own replacement
An opinion piece by brand designer Sophie O'Connor warns that AI companies are approaching creatives under the guise of paid freelance design briefs, but the real purpose is to harvest their expertise and design judgment to train AI models. O'Connor describes receiving LinkedIn messages and emails praising her taste, only to discover the 'big picture' paragraph mentioning that projects would help frontier AI systems understand aesthetics and creative quality. She criticizes the misleading nature of these approaches, noting that designers may not realize they are teaching AI to eventually replace them. O'Connor also mentions another AI company paying creatives to explain their design decisions, pricing based on how difficult the task is for AI to replicate. She calls for clearer disclosure and discussions about the ethical implications, highlighting concerns from fellow designers like Liz McCracken about the need for regulation.
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