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In , algospeak is a phenomenon in which users adopt coded expressions to evade automated content moderation. It allows users to discuss topics deemed sensitive to moderation algorithms while avoiding penalties such as , downranking, or de-monetization of content. A type of , algospeak primarily serves to bypass censorship, though it can also reinforce group belonging, especially in marginalized communities. Algospeak has been identified as one source of linguistic change in the modern era, with some terms spreading into everyday offline speech and writing.


History
The term algospeak–a of Algorithm and -speakappear to date back to 2021, though related ideas have existed for much longer; for example, voldemorting, referencing also known as "He-Who-Must-Not-Be-Named", refers to the use of coded expressions to avoid giving attention to objectionable figures or platforms and receiving algorithmic attention from unwanted audiences. The term algospeak gained wider recognition in 2022 after featured it in an article for The Washington Post.
(2025). 9780593804087, Penguin Random House.
In 2025, published Algospeak, the first monograph dedicated to the phenomenon. It proposes an expanded definition which encompasses any language change that is primarily driven by the constraints of digital platforms.
(2025). 9780593804087, Penguin Random House.


Causes and motivations
Many social media platforms rely on automated content moderation systems to enforce their guidelines, which the users often have no control over and may be changed at any time. in particular uses artificial intelligence to proactively moderate content, in addition to responding to user reports and using human moderators. In colloquial usage, such systems are called "algorithms" or "bots". TikTok has faced criticism for their unequal enforcement on topics such as and , leading to a perception that social media moderation is contradictory and inconsistent.

Between July and September 2024, TikTok reported removing 150 million videos, 120 million of which were flagged by automated systems. Automated moderation may miss important context; for example, benign communities who aid people who struggle with self-harm, suicidal thoughts, or past sexual violence may inadvertently receive unwarranted penalties. TikTok users have used algospeak to discuss and provide support to those who self-harm. An interview with nineteen TikTok creators revealed that they felt TikTok's moderation lacked contextual understanding, appeared random, was often inaccurate, and exhibited bias against marginalized communities.

Algospeak is also used in communities promoting harmful behaviors. Anti-vaccination Facebook groups began renaming themselves to “dance party” or “dinner party” to avoid being flagged for misinformation. Likewise, communities the eating disorder have been employing algospeak. Euphemisms like "cheese pizza" and "touch the ceiling" are used to promote child sexual abuse material (CSAM).

On TikTok, moderation decisions can result in consequences such as account bans and deletion or delisting of videos from the main video discovery page, called the "For You" page. In response, a TikTok spokeswoman told The New York Times that the users' fears are misplaced, saying that many popular videos discuss sex-adjacent topics.


Methods
Algospeak uses techniques akin to those used in Aesopian language to conceal the intended meaning from automated content filters, while being understandable to human readers. Other similar adoption of obfuscated speech include Cockney rhyming slang and , which historically were used by London gangs and British gay men respectively. However, unlike other forms of obfuscated speech, the global reach of social media has allowed the language to spread beyond local settings.

Techniques used in algospeak are extremely diverse. In orthography, users may draw from , where letters are replaced with lookalike characters (e.g. $3X for sex). Certain words or names may be censored, or in the case of auditory media, cut off or , e.g., s*icide instead of suicide. Another involves "pseudo-substitution", where an item is censored in one form, while it is present in another form at the same time, as used in videos. Some may involve intersemiotic translation, where non-linguistic signs are interpreted linguistically, in addition to further obfuscation. For example, the corn emoji "" signifies pornography by means of porn→ corn→🌽. Others may rely on phonological similarity or variation, such as homophobichydrophobic, and sexyseggsy via intervocalic voicing. On Chinese social media, users sometimes replace sensitive terms with characters that differ only in tone. For example, 细颈瓶 (xì jǐng píng, literally “narrow-necked bottle”) is used as a stand-in for the name of General Secretary of the Chinese Communist Party, Xí Jìnpíng.

In an interview study, most creators that were interviewed suspected TikTok's automated moderation was scanning the audio as well, leading them to also use algospeak terms in speech. Some also label sensitive images with innocuous captions using algospeak, such as captioning a scantily-dressed body as "fake body". The use of gestures and are common in algospeak, showing that it is not limited to written communication.

(2025). 9781450394192
A notable example is the use of the watermelon emoji on social media as a pro- symbol in place of the Palestinian flag in order to avoid censorship by Facebook and Instagram. Black creators may simply present their light-colored palms to the camera to stand in for white people, and flip them to stand in for black people.


Impact and detection
A 2022 poll showed that nearly a third of American social media users reported using "emojis or alternative phrases" to subvert content moderation.

Algospeak can lead to misunderstandings. A high-profile incident occurred when American actress made a seemingly unsympathetic comment on a TikTok post mentioning "mascara", not knowing its obfuscated meaning of sexual assault. Fox later apologized for her comment. In an interview study, creators shared that the evolving nature of content moderation pressures them to constantly innovate their use of algospeak, which makes them feel less authentic.

A 2024 study showed that GPT-4, a large language model, can often identify and decipher algospeak, especially with example sentences. Another study shows that sentiment analysis models often rate negative comments incorporating simple letter–number substitution and extraneous hyphenation more positively.

(2024). 9798350351309, IEEE.


Examples
According to The New York Times:

  • (to) unalive, unalived – to kill; killed, dead.
    (2025). 9780593804070, Knopf Doubleday Publishing Group. .
  • accountant
  • le dollar bean, as derived from the written form Le$bian
  • leg booty – the LGBTQ+ community
  • nip nops – nipples
  • panini, panoramic – a , especially the COVID-19 pandemic
  • seggs – sex

Other examples:


See also
  • Dog whistle (politics) – political messaging using coded language
  • Euphemisms for Internet censorship in China
  • Internet censorship


Notes

External links

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