Today we take for granted the ability to choose skin tone when sending a thumbs up or a waving hand. We open the menu, press and hold, and select the shade that best represents us. But until less than a decade ago, digital humanity was monochromatic, and this posed a much bigger problem than technology wanted to admit.
From Tokyo to Springfield: The Origins of a Monochromatic World
To understand the revolution, we must go back to Japan in the 1990s. In 1999, a young graphic designer named Shigetaka Kurita—born in 1972 in Gifu Prefecture—was working for NTT DoCoMo on i-mode, a revolutionary mobile internet service. The challenge was enormous: emails were limited to 250 characters, and Kurita needed a way to convey emotions and information in an extremely limited space.
Working on a tiny 12x12 pixel grid—144 dots total, just 18 bytes per image—Kurita created the first 176 emoji in just five weeks. Drawing inspiration from manga, street signs, weather symbols, and traditional kaomoji emoticons, he created a visual language that would change the world. Among those primitive pictograms were hearts, suns, telephones, and—crucially—some human figures. Today, that original set is housed in the permanent collection of the Museum of Modern Art in New York.
However, subsequent historical research has corrected the record: SoftBank actually released 90 emoji in 1997, two years before DoCoMo—including the now-iconic 💩 pile of poo. Kurita himself acknowledged on Twitter in 2019 that "in mobile phones DoCoMo wasn't the first." But it was Kurita's set, thanks to i-mode's widespread adoption, that truly popularized emoji across Japan. While the question of who came first remains debated, what's certain is that for over a decade, emoji remained a uniquely Japanese phenomenon.
Everything changed in November 2008 when Apple, seeking to penetrate the Japanese market, introduced Apple Color Emoji on the iPhone with iOS 2.2—initially available only in Japan. The 471 original glyphs were inspired by Japanese carrier designs but adapted with Apple's distinctive aesthetic style. Then in 2011, with iOS 5, Apple made emoji globally available without requiring third-party apps. The explosion was immediate: within months, emoji became a global communication phenomenon.
The Myth of Yellow Neutrality
When Apple integrated the emoji keyboard for the global market, human glyphs like 👮 (police officer), 👰 (bride), or 💁 (information desk person) were depicted with unmistakably Caucasian features: light skin, often with blond or light brown hair, and European physiognomy. The design choice was never explicitly addressed, but followed what the Unicode Consortium would later acknowledge: "following the precedents set by the original Japanese carrier images, they are often shown with a light skin tone instead of a more generic (nonhuman) appearance."
In response to the first murmurs of criticism, some vendors tried a middle ground: switching to a bright yellow (#FFCC00 or similar), inspired by the classic Smiley face and, some argued, by The Simpsons. The argument was seductive: yellow, being a "non-human" color, would be intrinsically neutral—representing everyone by representing no one.
But digital sociologists and activists quickly dismantled this myth. In a 2013 zine simply titled "emoji," author and cultural critic Roxane Gay coined a phrase that would become a rallying cry: "the unbearable whiteness of emoji." Her critique exposed a fundamental problem: users didn't perceive yellow as neutral. They perceived it as "default white"—the invisible norm against which everything else was measured. Research would later confirm this empirically: a 2021 study by the University of Edinburgh found that both Black and White participants associated yellow emoji with White identity, with 56% of Black participants and 63% of White participants making this connection.
The problem was deeper than aesthetics. As researcher Kate Miltner documented in her analysis of the Unicode Consortium's internal mailing lists, the racial composition of the original emoji set "was ultimately shaped by an institutionalized form of whiteness." In a digital language claiming universality, the absence of Black, Asian, Latino, or Indigenous representation was not an oversight—it was systemic exclusion encoded into the infrastructure of human communication.
The Voices That Demanded Change
The pressure for change came from multiple directions. On social media and tech blogs, BIPOC (Black, Indigenous, and People of Color) users vocally criticized the overwhelming whiteness and heteronormativity of emoji sets. Petitions circulated, including one on DoSomething.org that collected thousands of signatures. Even celebrities joined the chorus: Miley Cyrus tweeted about it, helping the issue go viral.
But perhaps the most consequential voice came from an unexpected source. In 2013, Katrina Parrott, an African-American woman who had worked in aerospace logistics at NASA, Boeing, and other major companies, was home when her daughter Katy—a pre-med student at the University of Texas—looked up from her phone and asked a simple question: "Wouldn't it be nice to have an emoji that looked like the person sending them?"
Parrott's first response was telling: "What's an emoji?" But after a brief tutorial, she saw an opportunity. With no coding experience but with determination born from two decades in aerospace logistics, she assembled a team including a senior software engineer, an illustrator, and a copyright specialist. In October 2013, iDiversicons—the world's first diverse emoji app—launched on the Apple App Store with over 300 emoji across five skin tones.
Parrott didn't just create an app; she pursued systemic change. In April 2014, she became a Unicode Consortium member and submitted her first formal proposal (L2/14-085), presenting her work at quarterly meetings alongside representatives from Apple, Google, Microsoft, and other tech giants. Mark Davis, Unicode's co-founder and president, would later email her: "Without you, we certainly wouldn't have come up with as good a solution!"
In March 2014, Apple's Vice President of Corporate Communication, Katie Cotton, acknowledged the criticism publicly: "There needs to be more diversity in the emoji set, and we have been working closely with the Unicode Consortium in an effort to update the standard." The machinery of change had begun to move.
The Man Who Classified Skin: Thomas B. Fitzpatrick
The solution that Unicode would eventually adopt didn't come from Silicon Valley but from a dermatology lab at Harvard Medical School in 1975. Thomas B. Fitzpatrick (1919-2003), who served as Chair of Dermatology at Harvard and Chief of Dermatology at Massachusetts General Hospital from 1959 to 1987, has been described as "the father of modern academic dermatology" and "the most influential dermatologist of the last 100 years."
Fitzpatrick's original challenge was purely medical: he was conducting research on PUVA (Psoralen and UVA) photochemotherapy for treating psoriasis and needed a way to predict how different patients would respond to ultraviolet light. Initial attempts to classify patients by hair and eye color alone resulted in some receiving too-high UVA doses. The solution was a classification based on how patients reported their skin's reaction to sun exposure: did it always burn? Sometimes tan? Never burn?
The original scale included only four types, all focused on white skin (Types I-IV). Types V and VI—for brown and Black skin—were added later, almost as an afterthought. As Fitzpatrick himself attested, the scale "was developed to classify persons with white skin" for medical treatment purposes. This Eurocentric origin would later become a point of criticism when the scale was adapted for emoji representation.
The six types, as eventually standardized, describe:
- Type I: Pale white skin, always burns, never tans (often freckled, blue/green eyes, blond/red hair)
- Type II: White skin, usually burns, tans minimally
- Type III: Cream white skin, sometimes burns mildly, tans uniformly
- Type IV: Moderate brown skin, burns minimally, always tans well
- Type V: Dark brown skin, rarely burns, tans very easily
- Type VI: Deeply pigmented dark brown to black skin, never burns
The scale wasn't without problems even in its original medical context. Critics note it overrepresents lighter skin tones, relies on subjective self-reporting, and inadequately captures the broad spectrum of human skin color—particularly among populations with darker skin, who exhibit much wider variation than the scale suggests. Nevertheless, it was a recognized scientific standard, and that scientific pedigree would prove useful for Unicode's purposes.
The Technical Solution: Unicode 8.0 and the Modifier System
The Unicode Consortium faced an engineering challenge that paralleled the social one. With thousands of human emoji already in the standard—people, body parts, gestures, professions—simply adding five color variants for each would have meant encoding thousands of new characters, bloating fonts and overwhelming operating systems.
The elegant solution came in a draft proposal authored by Mark Davis (Google, Unicode co-founder and president) and Peter Edberg (Apple senior software engineer), published in late 2014 and formalized in Unicode 8.0 in mid-2015. Instead of creating new characters, they proposed a Modifier system: five invisible characters that, when placed after a compatible base emoji, would change its appearance.
The technical specification works like a simple equation:
Base Code (👋 U+1F44B) + Tone Modifier (🏻 U+1F3FB) = Visual Result (👋🏻)
The five modifier code points were assigned in the Miscellaneous Symbols and Pictographs block:
- U+1F3FB - Emoji Modifier Fitzpatrick Type-1-2 (Light skin tone)
- U+1F3FC - Emoji Modifier Fitzpatrick Type-3 (Medium-light skin tone)
- U+1F3FD - Emoji Modifier Fitzpatrick Type-4 (Medium skin tone)
- U+1F3FE - Emoji Modifier Fitzpatrick Type-5 (Medium-dark skin tone)
- U+1F3FF - Emoji Modifier Fitzpatrick Type-6 (Dark skin tone)
The decision to merge Fitzpatrick Types I and II into a single modifier was practical: at the small sizes emoji are typically displayed, the difference between "pale white" and "white" would be nearly imperceptible. The result was five distinct tones plus the default yellow, giving users six options for self-representation.
The engineering elegance extended to backward compatibility—a sacred principle in software development. If an older device or application doesn't recognize the modifier character, it simply displays the base emoji followed by a colored square (the modifier's standalone appearance). The message remains comprehensible, just with reduced fidelity. No crashes, no garbled text, no broken communication.
Zero Width Joiner: The Invisible Architect of Complexity
The skin tone modifier system opened the door to even more sophisticated representations through another Unicode mechanism: the Zero Width Joiner (ZWJ), character U+200D. This invisible character acts like molecular glue, fusing multiple emoji into a single glyph.
Consider the family emoji 👨👩👧👦. Behind that single image lies a complex sequence:
👨 + ZWJ + 👩 + ZWJ + 👧 + ZWJ + 👦 = 👨👩👧👦
ZWJ sequences enabled an explosion of representation: same-sex couples (👩❤️👩), profession combinations (👩⚕️ for female doctor), and activities (🏃♀️ for woman running). Combined with skin tone modifiers, the possibilities multiplied exponentially. When Microsoft released its Windows 10 Anniversary Update in August 2016, it included support for over 52,000 emoji combinations—yes, fifty-two thousand—when accounting for all family, couple, and skin tone permutations.
In 2020, Unicode 13.1 introduced multi-skin-tone support for couple and people-holding-hands emoji, allowing representations like 👩🏻❤️👨🏿 (light-skinned woman with dark-skinned man). The complexity of the underlying character sequences for such emoji can extend to dozens of code points, all collapsing into a single visible glyph on supporting systems.
April 2015: The Day Emoji Got Color
Apple was first to market with the new skin tones. In February 2015, beta versions of iOS 8.3 and OS X 10.10.3 showcased the diverse emoji to developers. The public release came in April 2015, and the change was striking.
Every previously white (human-looking) emoji shifted to a "Simpsons-esque" bright yellow default. The first developer betas showed yellow skin with dark hair; by public release, Apple had changed to yellow skin with yellow hair—presumably to make the default more distinct from the lightest skin tone option, which featured dark hair. Tapping and holding any human emoji revealed a palette of five additional skin tones.
Apple also made deliberate design choices not specified by Unicode. Each skin tone modifier received different hair colors: the lightest tones often featured dark hair, while medium tones showed brown, and darker tones displayed black. Notably absent: red hair, which wouldn't receive its own emoji option until Unicode 11.0 in 2018.
The update included more than just skin tones: 32 new country flags, same-sex couple emoji (👩❤️👩, 👨❤️👨), and various family configurations. The emoji library had taken a significant step toward reflecting human diversity—but not without controversy.
Celebration and Critique: The Ambivalent Reception
The diverse emoji were met with both celebration and thoughtful criticism. For many users of color, the update represented long-overdue recognition. Kenyatta Shamburger, then Assistant Dean of Students at Iowa State University, described his experience: "To be able to send emojis in my messages that probably look more [like me]... I'm giving a thumbs up sign that looks more like what my thumb would look like. It was exciting."
But critics raised substantive concerns. Writing in the Washington Post days after the iOS 8.3 release, journalist Paige Tutt argued that "Apple took the easy way out. Instead of creating actual emojis of color, Apple simply allows its users to make white emoji a different color." Her critique cut to the heart of the design approach: "Deepening the skin color of a previously white emoji doesn't make the emoji not white. It's just a bastardized emoji blackface. The blond-haired emoji man and the blue-eyed emoji princess are clearly white, but you can slip them into a darker-colored skin. These new figures aren't emoji of color; they're just white emoji wearing masks."
Others noted the unexpected social dynamics that emerged. Before 2015, sending an emoji required no declaration of race—the character was an abstract symbol. After the update, choosing an emoji became an identity act. Every thumbs up forced a decision: which skin tone represents me? Do I match my actual complexion, or opt for the "neutral" yellow?
The backlash even spawned a corporate PR disaster when cleaning product company Clorox, on the day of the diverse emoji release, tweeted the new emoji arranged in the shape of a bleach bottle with the caption "New emojis are alright but where's the bleach?" The tweet was quickly deleted after being interpreted—rightly or wrongly—as a comment on the new skin tone options.
The Psychology of Choice: New Social Anxieties
The introduction of skin tone choices created what researchers began calling the "skin tone emoji dilemma." A 2018 study by Alexander Robertson at the University of Edinburgh, analyzing data from 595 million tweets, found that people overwhelmingly used emoji matching their real-world skin tone. But the patterns revealed deeper dynamics.
Users with darker skin tones were significantly more likely to use skin tone modifiers at all, and to use them consistently. For these users, diverse emoji served a clear purpose: self-representation and visibility in a digital space that had long excluded them. As one participant in an NPR feature explained: "I use the brown one that matches me."
White users showed more complex, often conflicted behavior. Many continued using the default yellow—but for reasons that varied widely. Some, like Massachusetts resident Heath Racela (three-quarters white, one-quarter Filipino), felt caught between identities: "If I use the white emoji, I feel like I'm betraying the part of myself that's Filipino. But if I use a darker color emoji, which maybe more closely matches what I see when I look at my whole family, it's not what the world sees."
For other white users, the avoidance of light-skinned emoji was political. Zara Rahman, a Berlin-based researcher who studied emoji behavior, noted: "I found that the lightest skin tone was actually used the least, even though white Twitter users outnumber Black Twitter users 4 to 1." Linguist Tyler Schnoebelen explained to The Atlantic that white users "are kind of represented by the default anyway," reducing the felt need to explicitly choose a skin tone.
Some white users reported avoiding light skin tones to not "assert their privilege" or to avoid appearing proud of their whiteness in politically sensitive contexts. Others deliberately chose darker tones in what they considered solidarity—a choice that researchers and users of color often interpreted quite differently. As Rahman noted: "For me, it does signal a kind of a lack of awareness of your white privilege in many ways."
Context also shaped choices. Jennifer Epperson of Houston, who identifies as Black, described code-switching in her emoji use: "I use the default emoji, the yellow-toned one for professional settings, and then I use the dark brown emoji for friends and family. I just don't have the emotional capacity to unpack race relations in the professional setting."
The Science of Perception: Yellow Is Not Neutral
The claim that yellow emoji were racially neutral—never strongly supported—crumbled entirely under empirical scrutiny. A landmark 2021 study published by the University of Edinburgh's School of Informatics provided definitive evidence that yellow emoji are perceived as white.
In behavioral experiments with 488 participants (half self-identifying as Black, half as White), researchers presented text messages containing either yellow, lighter-skinned, or darker-skinned emoji. The findings were unambiguous: yellow emoji were not seen as neutral by either group. Among Black participants, 56% associated yellow emoji with White identity; among White participants, 63% made the same association.
Darker-toned emoji were clear signals: 80% of both Black and White participants identified these as coming from Black senders. Lighter-toned emoji similarly identified senders as White with 80% accuracy. But messages with no emoji at all? A perfect 50-50 split—true neutrality existed only in the absence of emoji, not in the yellow default.
A 2024 study in Computers in Human Behavior went further, using eye-tracking technology to examine how emoji skin tones affect perception in real-time. The researchers found that Black senders using darker emoji were perceived as "warmer and closer to the receiver, but less competent"—revealing how racial stereotypes transfer into the digital realm. Yellow emoji, far from providing an escape from these dynamics, were consistently assumed to be from White senders.
The research confirmed what Roxane Gay and other critics had argued years earlier: the supposed neutrality of yellow was a fiction, a default whiteness masquerading as universality. As the Edinburgh researchers concluded: "supposedly neutral defaults may be more representative of some users than others."
The Unfinished Business: Criticism of the Fitzpatrick Adaptation
The choice of the Fitzpatrick scale itself drew criticism from scholars examining the intersection of race and technology. Digital studies researchers Kate Stark and Kate Crawford argued that Unicode's selection of the scale "only further embeds hierarchies of gendered and racialized authority and inequality" in the character sets.
The scale's origins in classifying white skin for medical treatment, its later expansion to include darker tones as an afterthought, and its inadequacy in representing the true diversity of human skin color—particularly among populations with darker skin—made it a problematic foundation for global digital representation. While the Fitzpatrick scale "evades explicit racial categorization," critics noted that phenotype and skin-typing nonetheless "operate as de facto cultural signifiers for representing race."
Kate Miltner's research into Unicode's internal deliberations revealed that many consortium members—predominantly white—viewed diverse emoji as a response to a "manufactured public relations crisis" rather than as remediation of systemic exclusion. Some members openly resisted the changes, and the decision to use a "scientific" medical standard was partly strategic: it provided legitimizing cover for what was otherwise seen as "a fraught social-political topic."
The dermatological community itself has increasingly questioned the Fitzpatrick scale's utility. A 2021 paper in Skin Health and Disease argued that the scale gives "a false sense of security" and inadequately represents skin cancer risk in Types IV-VI. Medical researchers have called for "more inclusive and scientifically valid categorizations in dermatological and genetic research"—criticisms that apply equally to the scale's adoption in digital representation.
Katrina Parrott: The Story That Almost Got Erased
In September 2020, Katrina Parrott filed a federal lawsuit against Apple in Waco, Texas, alleging copyright infringement. Her complaint told a story that complicates the triumphant narrative of corporate-led diversity.
According to court documents and Parrott's account, she presented her five-skin-tone emoji system to the Unicode Technical Committee in May 2014—including detailed proposals submitted as formal Unicode documents (L2/14-085, L2/14-154). She met personally with Apple senior software engineer Peter Edberg and provided him with a thumb drive containing approximately 170 diverse emoji. She presented her "color modifier palette" solution at a UTC meeting hosted by Apple in Sunnyvale, California, in October 2014.
Then, on October 23, 2014, Edberg emailed Parrott: "Apple has its own team of human interface designers who want to handle all aspects of the emoji design. Celia Vigil does not see an opportunity for collaborating or partnering with iDiversicons." Six months later, Apple released its five-skin-tone emoji system. Downloads of Parrott's iDiversicons app, which had been featured in the App Store, dropped dramatically.
Apple's defense argued that "copyright does not protect the idea of applying five different skin tones to emoji because ideas are not copyrightable"—a legally sound position that nonetheless left unresolved questions about the relationship between Parrott's work and the industry's eventual solution. In February 2022, a federal judge dismissed the lawsuit on these grounds.
Today, Parrott's iDiversicons are part of the permanent collection at the Smithsonian National Museum of African American History and Culture—recognition of her pioneering role that the legal system couldn't acknowledge. Her story, captured in the documentary "Picture Character" (released as "The Emoji Story"), represents the often-erased contributions of Black innovators to the technologies we use daily. As Parrott herself noted: "I used my life savings to develop this. Typically, when you are the first to do something, that is a great thing. But there is no way to compete with giants on these things."
The Ongoing Evolution: Beyond Skin Tone
The skin tone revolution opened the floodgates for broader representation. Subsequent Unicode releases have addressed other dimensions of human diversity:
Hair diversity: Unicode 11.0 (2018) finally added red hair, as well as curly hair, white hair, and bald options—combinations requested since the original skin tone launch.
Gender representation: Unicode 10.0 (2017) introduced gender-neutral person emoji and expanded profession emoji to include female versions of previously male-only roles (👩🔬, 👩🚒, 👩✈️).
Disability representation: Unicode 12.0 (2019) added emoji for people using wheelchairs, with prosthetic limbs, using canes, and signing—representations proposed by Apple with input from disability advocacy organizations.
Interracial relationships: Unicode 13.1 (2020) enabled multi-skin-tone couple emoji, allowing representations of interracial partnerships. Microsoft had actually pioneered this functionality in 2016, supporting thousands of combinations before they became officially recommended.
Family complexity: While Unicode officially recommends a limited set of family emoji (without skin tone variations), platforms like Windows have supported over 52,000 family combinations since 2016, including single-parent families and multi-generational households.
The Limits of Technical Solutions
Unicode itself has acknowledged that technical standards cannot solve every representation challenge. As the official documentation states: "It is beyond the scope of Unicode to provide an encoding-based mechanism for representing every aspect of human appearance diversity that emoji users might want to indicate. The best approach for communicating very specific human images—or any type of image in which preservation of specific appearance is very important—is the use of embedded graphics."
This limitation has driven innovation outside the standard. Bitmoji and Memoji allow users to create personalized avatars. Celebrity emoji packages (Kimoji, Chymoji, Tamotions) let public figures communicate through branded imagery. Corporate and cultural organizations create custom emoji for their communities.
But the Unicode standard remains the foundation—the universal language that works across every platform, every device, every operating system. What gets encoded there matters, because it defines what can be communicated without special apps or compatibility concerns. The emoji set, as critics note, "has penetrated popular culture" as "the closest thing we have to a truly universal language." How that language represents humanity shapes digital communication for billions of people.
The Fitzpatrick Scale Today: Digital Avatars of the Self
Ten years after Unicode 8.0, the Fitzpatrick scale has become an unexpected cultural touchstone. A medical classification developed for phototherapy dosing now shapes how billions of people represent their racial identities in digital communication. Every day, every skin tone choice in every emoji represents a small negotiation of identity—conscious or unconscious, deliberate or habitual.
For underrepresented minorities, realistic skin tones became a powerful form of visibility. As one study participant explained: "It was just so powerful to finally see myself reflected in this thing I use every single day." For many white users, the choice exposed the usually-invisible assumption of whiteness as default—forcing a conscious engagement with race that many had previously avoided.
The research is clear: emoji have become identity signals as much as emotional punctuation. They shape how recipients perceive senders, influence assumptions about competence and warmth, and carry the baggage of racial stereotypes into digital spaces. The skin tone modifier transformed emoji from communicative abstractions into, as researchers describe them, "digital avatars of the self."
And yet, the question Katy Parrott asked her mother in 2013—"Wouldn't it be nice to have an emoji that looked like the person sending them?"—remains only partially answered. The Fitzpatrick scale's five tones cannot capture the full range of human skin color. Phenotypic features beyond skin tone remain largely unaddressed. The yellow default persists, carrying its false neutrality forward. Representation has expanded enormously, but the framework—a medical scale designed for white skin, adapted by a technical committee criticized for its own homogeneity—embeds limitations into the very foundation of digital diversity.
Conclusion: A Revolution Incomplete
The story of emoji skin tones is, ultimately, a story about technology and society in constant negotiation. A Japanese designer's creative solution for limited bandwidth. A Harvard dermatologist's clinical need for UV dosing guidance. A Black mother's realization that her daughter couldn't see herself in the icons on her phone. Engineers at Apple and Google and Microsoft wrestling with how to encode human diversity without breaking the internet. Academics studying the psychology of emoji choice. Activists pushing for broader representation. Users, billions of them, making small identity decisions with every message sent.
The technical achievement is undeniable: Unicode created a system elegant enough to represent human diversity across every platform while maintaining backward compatibility with systems that had never contemplated such needs. The social achievement is real but limited: digital communication now reflects more of humanity than it did in 2014, but it still privileges certain kinds of representation over others.
Perhaps most importantly, the Fitzpatrick scale revolution forced conversations that technology companies—and their predominantly white engineering teams—had long avoided. Every thumbs up, every waving hand, every person running or dancing or raising their hand now carries the possibility of representation—and with it, the weight of decisions about identity in digital space.
The revolution is not complete. It may never be. But the question that drives it forward—the simple question of a college student looking at her phone—remains as relevant as ever: Wouldn't it be nice to have an emoji that looked like the person sending it?
The answer, increasingly, is yes. And the work continues.