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China Xinhua News

Marketing Channels
News Publishers
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CGTN and China Daily sit at the top of China Xinhua News's neighbor set at 0.92 and 0.91 respectively — but the rest of the top 10 tells a more unexpected story, pulling sharply toward luxury fashion and global tech rather than news.

The shape is two-peak. The first peak is a tight cluster of fellow News Publishers: CGTN (0.92), China Daily (0.91), RT (0.88), and CNN International (0.86) form a coherent same-kind group. The second peak is structurally distinct: British Vogue (0.86) and Saint Laurent (0.86) arrive at nearly the same similarity score as CNN International, followed by UNESCO (0.85) and Burberry (social) (0.85). Google (0.89) sits between the two peaks — a Technology brand whose audience shape aligns more closely with Xinhua's than any fashion or non-profit neighbor does. Citi (0.85) rounds out the top 10 as the sole Finance entry. In total, four of the top 10 neighbors are News Publishers, two are Fashion brands, one is Technology, one is Finance, and two are Non-Profit organizations — a cross-kind spread that is unusually wide for a news outlet.

The bridge between these two neighborhoods — state-aligned international news on one side, luxury fashion and global institutions on the other — points to an audience that is internationally oriented and cosmopolitan in its consumption habits, following both geopolitical coverage and premium lifestyle content.

Nearest neighbors by audience shape

Cosine similarity over Persona Live audience composition.
"Entities whose overall audience profile most closely matches this one — people who follow one tend to follow the other."

Raw data

Attention graph /similar sample results  (free):
{ "handle": "xhnews", "title": "China Xinhua News", "category": "Marketing Channels", "subcategory": "News Publishers", "resolved": "xhnews", "k": 10, "shape": "two-peak", "filter": null, "results": [ { "handle": "cgtnofficial", "title": "CGTN", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9157, "drivers": [ "E06", "A06", "Q01", "J02", "Q04" ] }, { "handle": "chinadaily", "title": "China Daily", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9143, "drivers": [ "E06", "A06", "A02", "Q01", "J02" ] }, { "handle": "google", "title": "Google", "category": "Brands", "subcategory": "Technology", "similarity": 0.8897, "drivers": [ "E06", "A06", "A02", "G03", "G01" ] }, { "handle": "rt_com", "title": "RT", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.8848, "drivers": [ "E06", "A02", "I01", "Q01", "G03" ] }, { "handle": "cnni", "title": "CNN International", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.8642, "drivers": [ "E06", "A02", "G03", "G01", "I01" ] }, { "handle": "britishvogue", "title": "British Vogue", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.8619, "drivers": [ "E06", "A02", "I01", "Q01", "J02" ] }, { "handle": "ysl", "title": "Saint Laurent", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8586, "drivers": [ "E06", "A02", "Q01", "I01", "J02" ] }, { "handle": "unesco", "title": "UNESCO", "category": "Organizations", "subcategory": "Non-Profit", "similarity": 0.8532, "drivers": [ "E06", "A02", "G03", "G01", "I01" ] }, { "handle": "burberry_social", "title": "Burberry (social)", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8514, "drivers": [ "E06", "Q01", "I01", "A02", "G01" ] }, { "handle": "citi", "title": "Citi", "category": "Brands", "subcategory": "Finance", "similarity": 0.851, "drivers": [ "E06", "A02", "Q01", "I01", "G01" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: