Emojis are replacing Barbies as the battleground where the fight over the portrayal of women is being waged.
A group of Google employees is pushing for 13 new emojis to be approved with a “goal of highlighting the diversity of women’s careers and empower girls everywhere,” according to their proposal submitted to the Unicode Consortium this week.
“No matter where you look, women are gaining visibility and recognition as never before,” the developers said in a its proposal. “Isn’t it time that emoji also reflect the reality that women play a key role in every walk of life and in every profession?”
As of now, emojis depicting women are overwhelmingly stereotypical: There’s nail painting and hair grooming; there’s flamenco dancing and twin burlesque bunnies. Men, meanwhile, are cops and doctors and athletes, as Always pointed out as part of their “Like a Girl” campaign. Google’s proposal includes doctors, farmers, graduates and professors for both sexes. There’s even a David Bowie tribute emoji.
Making unicode emoji less basic with 13 true-to-life representations of professional women: https://t.co/aSOBFkKMGa pic.twitter.com/BfKMSSXgpg
— Google Design (@GoogleDesign) May 11, 2016
Unicode Consortium is currently mulling which emojis will be allowed in its next batch, due to arrive on people’s phones in mid-2017. However, the Googlers might have an advantage since the Consortium’s president, Mark Davis, is also a Google employee.
More in Marketing
Uncertainty over TikTok’s U.S. future splinters creators and agencies
With the possible removal of TikTok in the U.S. as early as January, creators and agencies fall on both sides of the issue: either believing it will happen or confident that the ban won’t go through in the end
In Graphic Detail: How Sia’s Clip It launch shows the power of Roblox for musicians
Sia’s Clip It integration into Roblox is the first time a prominent mainstream musical artist has placed their music and branding inside the space.
Marketers have a new audience to worry about — large language models
Tech firms are creating new ways to understand how large language models perceive their brands.