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White House uses Sabrina Carpenter ‘SNL’ clip after she objects to ICE song use
The White House replaced Sabrina Carpenter's 'too hot' line with 'illegal' in a video showing ICE operations, continuing a controversial use of her music after initial backlash.
- On December 5, 2025, the White House social media team posted a video remixing Sabrina Carpenter, singer and actor, overdubbing her SNL promo line as `illegal` and cutting to ICE and U.S. Border Patrol footage.
- After an earlier post used her song `Juno`, Sabrina Carpenter criticized the montage as benefiting an inhumane agenda and the White House social media team deleted the X post.
- The remix uses a robotic overdub replacing Carpenter's line with 'illegal' as Marcello Hernández, Saturday Night Live cast member, extends his hands, then shifts to a Gucci Mane supercut.
- The posts prompted immediate backlash, and the administration's social media accounts deleted or modified content after viral reaction, while White House spokesperson Abigail Jackson strongly defended the posts.
- This continues a trend dating to Nov. 3 when the White House social media team repurposed Taylor Swift's song for pro-ICE messaging, raising reputational issues for artists and spotlighting Gen-Z signifiers.
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White House Doubles Down on Sabrina Carpenter with New ICE Promo Featuring Singer, and 'SNL’'s Marcello Hernández
Carpenter previously told the Trump administration not to "involve me or my music to benefit your inhumane agenda"Saturday Night Live/YouTube; The White House/X Sabrina Carpenter (left) and Marcello Hernández (right), a man being arrested by ICE agents.NEED TO KNOWThe White House doubled down after Sabrina Carpenter called out the use of her music in a video promoting ICE arrestsAfter deleting the post Carpenter slammed as "evil and disgusting,"…
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After the White House used Sabrina Carpenter’s song ‘Juno’, the singer protested and they decided to respond.
Coverage Details
Total News Sources36
Leaning Left10Leaning Right6Center8Last UpdatedBias Distribution42% Left
Bias Distribution
- 42% of the sources lean Left
42% Left
L 42%
C 33%
R 25%
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