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China Daily

Marketing Channels
News Publishers
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At 0.91, China Xinhua News and CGTN sit in a tier of their own — the two-peak structure here is unusually compressed, with both neighbors separated from the rest of the top 10 by nearly 0.08 points. RT follows at 0.84, completing a tight cluster of three News Publishers at the top. These three are the only neighbors that share China Daily's own subcategory in the top 10.

What makes the shape notable is what fills positions four through ten. After RT, the neighbors shift entirely away from news: Facebook (0.81) and Twitter (0.80) represent Social Media; Mastercard (0.81) and Citibank (0.80) represent Finance; Google (0.81) represents Technology; Burberry (0.81) represents Fashion; and British Vogue (0.80) represents Magazines. These seven neighbors cluster tightly between 0.80 and 0.81 — a second band of broadly global, high-reach brands whose audiences happen to share a composition with China Daily's readership, despite having no thematic connection to news. The bridge the shape describes is an audience that follows state-affiliated news at one end and engages with major international consumer and financial brands at the other.

The overall picture is an audience with a concentrated core around a specific news ecosystem, extending outward into a wide cross-category band of globally distributed brand audiences.

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": "chinadaily", "title": "China Daily", "category": "Marketing Channels", "subcategory": "News Publishers", "resolved": "chinadaily", "k": 10, "shape": "two-peak", "filter": null, "results": [ { "handle": "xhnews", "title": "China Xinhua News", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9143, "drivers": [ "E06", "A06", "A02", "Q01", "J02" ] }, { "handle": "cgtnofficial", "title": "CGTN", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.9128, "drivers": [ "E06", "A06", "Q08", "Q01", "Q04" ] }, { "handle": "rt_com", "title": "RT", "category": "Marketing Channels", "subcategory": "News Publishers", "similarity": 0.8352, "drivers": [ "E06", "Q01", "A02", "A06", "Q07" ] }, { "handle": "facebook", "title": "Facebook", "category": "Brands", "subcategory": "Social Media", "similarity": 0.813, "drivers": [ "E06", "A06", "Q08", "A02", "Q01" ] }, { "handle": "burberry_social", "title": "Burberry (social)", "category": "Brands", "subcategory": "Fashion", "similarity": 0.8101, "drivers": [ "E06", "Q01", "Q04", "Q08", "A02" ] }, { "handle": "google", "title": "Google", "category": "Brands", "subcategory": "Technology", "similarity": 0.8074, "drivers": [ "E06", "A06", "A02", "Q08", "G03" ] }, { "handle": "mastercard", "title": "Mastercard", "category": "Brands", "subcategory": "Finance", "similarity": 0.8065, "drivers": [ "Q01", "Q08", "E06", "A02", "A06" ] }, { "handle": "citibank_social", "title": "Citibank (social)", "category": "Brands", "subcategory": "Finance", "similarity": 0.8045, "drivers": [ "E06", "Q01", "A06", "A02", "Q04" ] }, { "handle": "britishvogue", "title": "British Vogue", "category": "Marketing Channels", "subcategory": "Magazines", "similarity": 0.7989, "drivers": [ "E06", "Q01", "A02", "J02", "I01" ] }, { "handle": "twitter", "title": "Twitter", "category": "Brands", "subcategory": "Social Media", "similarity": 0.7973, "drivers": [ "E06", "Q08", "Q01", "Q07", "A02" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: