Netflix called out for 'Nailed It!' thumbnail

Host accuses service of white-washing show

By Sandra Gonzalez, CNN
Netflix

"Nailed It!" host Nicole Byer

(CNN) - Netflix's choice of thumbnail for one of its beloved original series got fingers wagging on Tuesday night after a Twitter user called out the streaming giant for the misstep.

Twitter user @dylsauce shared a photo of a thumbnail for the reality competition series "Nailed It!" that featured two white, male contributors -- judge Jacques Torres and assistant director Weston Bahr -- instead of host Nicole Byer, who is black.

Byer and Torres share top billing for the show, but Byer has in many instances acted as the face of the series.

"@nicolebyer IS NAILED IT," the user wrote. "I love wes and chef jacques but COME ON - this is so upsetting."

"Nailed It!" host Nicole Byer later weighed in via a series of now-deleted tweets, which were viewed by E! while they were still up on the social media platform.

"If Netflix didn't sign my checks and give me a huge platform and opportunity to showcase my comedy. I would talk about how f---ed up and disrespectful this is to me a black woman. Also how black women are a lot of times erased from many different conversations," she said.

She also accused the service of "white washing," white acknowledging that thumbnails can vary for different users.

"I know there are thumbnails with and without my face... This one just seems for lack of a better word deliberate," Byer wrote.

She later explained that she deleted the tweets because the issue was resolved.

"I deleted my last set of tweets bc I talked to one the execs on my show about it and the thrilling conclusion is the removal of the image and a conversation about how the thumbnails are made and selected that I'm happy wit," she wrote.

The Twitter user who originally brought the thumbnail to Byer's attention also deleted his original tweet.

Netflix has not responded to CNN's request for comment and clarification on whether the criticized thumbnail was a result of a human error or chosen by an algorithm.

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