I still remember the first time I heard someone say “unalive” instead of “dead.” It wasn’t in a teenager’s chat room or a meme thread. It was in a workplace Slack channel, shared by a younger colleague recounting a difficult news story. That moment stopped me. It wasn’t slang. It was something different. And then it clicked: this was the influence of algospeak—a new coded language born from social media algorithms.
Adam Aleksic, author of Algospeak: How Social Media Is Transforming the Future of Language, describes this shift as “one of the most significant changes in how humans use words since the printing press.” He argues that platforms are no longer passive channels for language. They are active gatekeepers that reward certain phrases, suppress others, and in the process push us into a parallel dialect of euphemisms, misspellings, and emoji-based code.
For corporate professionals in HR, marketing, and communications, this isn’t just an internet curiosity. It is a business issue. Language is the medium of culture, branding, and reputation. When algorithms rewrite our words, they reshape how we recruit, how we advertise, and how we speak with employees and customers alike.
What Exactly Is Algospeak?
Algospeak emerges when users avoid terms that trigger penalties on social platforms—whether that means demonetization, removal, or simple invisibility in feeds. Instead of saying “suicide,” creators might write “s**cide” or substitute a flower emoji. Instead of “sexual assault,” they abbreviate it as “SA.” Instead of “kill,” they use “unalive.”
This is not the natural evolution of slang. As Aleksic puts it, “algospeak is reactive—it happens because algorithms force our hand.” Unlike traditional linguistic change, it is engineered by systems that decide what can and cannot be said if you want your content seen.
Why It Matters for Business
The effects of algospeak spill far beyond TikTok comment sections. Three fields inside organizations are already feeling the pressure.
Human Resources and Corporate Culture: Younger employees fluent in algospeak bring that communication style with them into Slack, Teams, and internal forums. Euphemisms designed for online survival can cloud clarity in professional settings. If someone uses coded terms to describe harassment or mental health struggles, HR may misinterpret the severity of the issue. This creates both cultural and compliance risks.
Marketing and Brand Strategy: Marketing teams face a double challenge. First, campaigns risk being suppressed if they use language algorithms dislike—even when that language is medically accurate or legally required. Second, consumer audiences often expect brands to “speak their language.” A company that understands algospeak can connect authentically with younger demographics. One that ignores it risks sounding tone-deaf or, worse, invisible.
Corporate Communications and PR: Public-facing messaging now travels in an environment where euphemisms and workarounds dominate. If a company issues a crisis statement using formal terminology while audiences discuss the issue in algospeak, the disconnect can amplify mistrust. Effective PR requires not only addressing the crisis but also speaking in a way that is understood within the current linguistic ecosystem.
Creativity Through Constraint
Interestingly, algospeak is not only about restriction. It also fuels creativity. Aleksic highlights how “constraints spark ingenuity, and nowhere is this clearer than in online language.” Users invent spellings, swap in emojis, and create coded references that evolve into viral memes.
For companies, this creativity is an opportunity. Campaigns that adapt to these linguistic shifts show cultural fluency. HR leaders who understand the coded shorthand of younger employees can foster better dialogue. Even analytics teams can gain richer insights by tuning into the inventive ways people express themselves when algorithms set the boundaries.
Risks of Misalignment
Of course, there are dangers. Algorithms don’t align neatly with corporate goals. A healthcare organization running an awareness campaign may find its posts suppressed for using clinical terms. A data team analyzing employee feedback could misread sentiment if they fail to recognize euphemisms. A compliance officer might miss critical context if a policy violation is hidden under creative spelling.
These gaps highlight a simple truth: algospeak doesn’t just shift language, it reshapes the accuracy of business intelligence. Ignoring it is not an option.
Looking Ahead
We have been here before. In the early 2000s, executives learned the mechanics of search engine optimization because search algorithms dictated visibility. Today, we face a new kind of adaptation—algorithmic language adaptation. Understanding algospeak is quickly becoming as essential as understanding SEO once was.
As Aleksic reminds us, “the dictionary of tomorrow will not be written in ivory towers but in the code of algorithms and the creativity of users.” For HR, marketing, and communications professionals, this means language will continue to mutate in real time, under pressures that no single company controls.
I come back to that Slack moment, when “unalive” entered a professional space. It was a quiet reminder that the way we talk is never fully ours anymore. Algorithms are co-authors now. Our task, as corporate leaders, is to recognize that shift, adapt to it, and ensure that meaning—and humanity—doesn’t get lost in translation.
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Tech Topics is a newsletter with a focus on contemporary challenges and innovations in the workplace and the broader world of technology. Produced by Boston-based Conceptual Technology (http://www.conceptualtech.com), the articles explore various aspects of professional life, including workplace dynamics, evolving technological trends, job satisfaction, diversity and discrimination issues, and cybersecurity challenges. These themes reflect a keen interest in understanding and navigating the complexities of modern work environments and the ever-changing landscape of technology.
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