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Politicians, TV personalities, and journalists dominate Disclose.tv's nearest audiences — with no other News Publisher appearing in the top 10 until Conservative Review at position 18 in the broader set, and One America News further still. Similarity here measures how closely two entities' audience compositions resemble each other; a score near 0.88 means the audiences are shaped almost identically.

The shape is broad: scores run from 0.88 down to 0.82 across the top 10, with no single neighbor pulling far ahead of the rest. Lauren Boebert leads at 0.88 (Politicians), followed by Dana Loesch at 0.87 (TV Personalities) and Tomi Lahren at 0.86 (Journalists). PragerU at 0.85 is the lone Organization in the set, classified under Education. Ashley StClair (Activists, 0.84) and Kayleigh McEnany (Government Officials, 0.84) round out the upper tier. Further down, Kristy Swanson (Actors, 0.83), Bo Snerdley (TV Personalities, 0.83), Parler (Social Media, 0.82), and Rumble (Entertainment Platforms, 0.82) complete the ten. Subcategory-wise, the top 10 spans Politicians, TV Personalities, Journalists, an Education org, an Activist, a Government Official, an Actor, and two platforms — a cross-kind mix concentrated almost entirely in the political-commentary ecosystem rather than in peer News Publishers.

The breadth of that mix, holding consistently above 0.82 across very different entity types, points to an audience defined less by any single content format than by a coherent ideological orientation that cuts across politicians, commentators, and alternative platforms alike.

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": "disclosetv", "title": "Disclose.tv", "category": "Marketing Channels", "subcategory": "News Publishers", "resolved": "disclosetv", "k": 10, "shape": "broad", "filter": null, "results": [ { "handle": "laurenboebert", "title": "Lauren Boebert", "category": "Celebrities and Influencers", "subcategory": "Politicians", "similarity": 0.8794, "drivers": [ "M01", "Q01", "N03", "I01", "K02" ] }, { "handle": "dloesch", "title": "Dana Loesch", "category": "Celebrities and Influencers", "subcategory": "TV Personalities", "similarity": 0.8651, "drivers": [ "N03", "Q01", "K02", "M01", "I01" ] }, { "handle": "tomilahren", "title": "Tomi Lahren", "category": "Celebrities and Influencers", "subcategory": "Journalists", "similarity": 0.856, "drivers": [ "M01", "Q01", "A06", "I01", "E02" ] }, { "handle": "prageru", "title": "PragerU", "category": "Organizations", "subcategory": "Education", "similarity": 0.848, "drivers": [ "M01", "Q01", "I01", "A06", "K02" ] }, { "handle": "stclairashley", "title": "Ashley StClair", "category": "Celebrities and Influencers", "subcategory": "Activists", "similarity": 0.8417, "drivers": [ "M01", "Q01", "I01", "K02", "G01" ] }, { "handle": "kayleighmcenany", "title": "Kayleigh McEnany", "category": "Celebrities and Influencers", "subcategory": "Government Officials", "similarity": 0.8385, "drivers": [ "M01", "Q01", "K02", "I01", "Q02" ] }, { "handle": "kristyswansonxo", "title": "Kristy Swanson", "category": "Celebrities and Influencers", "subcategory": "Actors", "similarity": 0.8325, "drivers": [ "Q01", "M01", "I01", "G01", "E02" ] }, { "handle": "bosnerdley", "title": "Bo Snerdley", "category": "Celebrities and Influencers", "subcategory": "TV Personalities", "similarity": 0.8253, "drivers": [ "M01", "Q01", "I01", "K02", "G01" ] }, { "handle": "parler_app", "title": "Parler", "category": "Brands", "subcategory": "Social Media", "similarity": 0.8241, "drivers": [ "N03", "Q01", "M01", "K02", "I01" ] }, { "handle": "rumblevideo", "title": "Rumble", "category": "Brands", "subcategory": "Entertainment Platforms", "similarity": 0.8185, "drivers": [ "M01", "K02", "Q01", "I01", "F04" ] } ] }
Full Attention graph /similarity /affinity /demographics available with  API key: