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The 30 Best Beauty Looks at the 2026 Met Gala, From Kylie Jenner's Brows to Chase Infiniti's Curls
Stars paired bold hair, makeup and nails with the Met Gala’s Costume Art theme, as Rihanna closed the carpet in gilded glamour.
- The 2026 Met Gala took place on May 4, 2026, in New York City, featuring the theme 'Costume Art.' Rihanna arrived in a stunning Maison Margiela gown.
- Co-Chairs Beyonc, Nicole Kidman, Venus Williams, and Anna Wintour hosted the event. This year’s exhibition explores the relationship between clothing and the body, with a fittingly interpretive dress code: 'Fashion is art.'
- Doja Cat appeared as a 'monochromatic dream' in a sandy-toned latex dress. Sabrina Carpenter debuted a unique look; 'You've never seen a faux bob quite like the one,' Carpenter said.
- Emma Chamberlain sported bold copper eyeshadow. Elsewhere, a star channeled Cher with dramatically long hair, and hairstylist Evanie Frausto used Redken Control Hairspray; 'The placement and direction of each roll was key to balancing structure,' Frausto said.
- As the biggest night of the year, the event continues to set global trends, with 'gilded glamour' cementing a star's status as a darling of the industry. The focus remains on the intersection of clothing and artistry.
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The 30 Best Beauty Looks at the 2026 Met Gala, From Kylie Jenner's Brows to Chase Infiniti's Curls
These looks are seriously stunning.Jade green eyeshadow, tons of shimmer, and glossy lips took Doechii's Met Gala look to the next level.Credit: Getty ImagesThe GistThe 2026 Met Gala's theme was "Fashion is Art," with a "Costume Art" dress code.Guests showed off some stunning beauty looks, from metal pin curls on Rihanna to bleached eyebrows on Kylie Jenner.For beauty lovers, the Met Gala is our Super Bowl. It's the time when we get to take in t…
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This night took place the Met Gala 2026, the most anticipated fashion event of the year. We analyzed the beauty, and a missing element in the call...
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Total News Sources17
Leaning Left6Leaning Right0Center3Last UpdatedBias Distribution67% Left
Bias Distribution
- 67% of the sources lean Left
67% Left
L 67%
C 33%
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