language

AUTUMNAL UPDATES

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The Autumn Equinox, and time for the latest perspectives on slang and youth language in the Anglosphere…

I‘m very grateful indeed for the latest data on the most popular slang terms – according to online searches – among younger people in the USA, provided once again by Randoh Sallihall of Unscramblerer.com…

Most searched for slang words in America:

1.      6-7 (141 000 searches) – There is no literal meaning to six seven. Its absurdity is the point, making it a prime example of “brainrot” internet humor where the randomness itself becomes funny. It originates from the song “Doot Doot (6 7)” by Skrilla. LaMelo Ball a basketball player created a trending video about being 6 feet 7 inches tall using the song. Kids and teens scream and chant it often paired with exaggerated hand gestures. *See also below

2.      Bop (115 000 searches) – A person with many sexual partners (bops around from person to person). Someone who presents oneself online in a way that is thought of as immodest. A derogatory word often used in cyberbullying.

3.      Mogging (79 000 searches) – outclassing someone else by appearing more attractive, skillful or successful. Looksmaxxing (16 000 searches)  has a similar meaning that is also a trending slang word this year.

4.      Huzz (61 000 searches) – refers to attractive girl or a group of girls. A replacement for ‘boo’ and ‘pookie’. Somebody you want to impress. This slang had a more derogatory meaning ‘h–s’, but that has changed.

5.      Chopped (59 000 searches) – this term has become a synonym for something that is ugly, undesirable or unattractive.

6.      Big back (57 000 searches) – refers to someone with a large physique. Someone who is seen as gluttonous or out of shape. It’s less about literal size and more about poking fun at behavior, like hogging food or being sluggish.

7.      Glazing (49 000 searches) – means to praise someone excessively and insincerely. A way to call out behavior where excessive flattery is used.

8.      Zesty (44 000 searches) – someone who is lively, exciting or energetic.

9.      Fanum tax (36 000 searches) – playfully taking a portion of a friend’s food. The streamer Fanum began this trend.

10.   Green FN (34 000 searches) – refers to a guaranteed win. Describes something amazing and highly desirable. Often said after an exceptional shot or throw in basketball. The term originates from the NBA 2K video game series, where a perfectly timed shot is marked by the color green.

11.   Delulu (32 000 searches) – short for delusional. It describes someone with unrealistic expectations, especially about crushes, relationships, or fantasies (thinking a celebrity will date them).

12.   Clanker (29 000 searches) – is a derogatory term for robots and AI technology. An example would be “having to talk to a clanker” would mean talking with a chat bot.

13.   Ohio (24 000 searches) – refers to anything that is strange or absurd.

14.   Slop (21 000 searches) – describes low effort AI generated content.

15.   Aura farming (18 000 searches) -refers to a behavior (often referencing anime characters) where a person does something for the sake of looking cool.

A spokesperson for Unscramblerer.com commented on the findings: “Popular slang in 2025 continues to be heavily influenced by TikTok, Instagram, gaming, streaming, Gen Z and Alpha online communities. Trends from social media spread rapidly via memes and viral challenges. Fueled by technology our language adapts to new slang trends more rapidly than ever. Slang is a fascinating and fun mirror of our culture.”

Research was conducted by word finding experts at Unscramblerer.com.

We analyzed 01.01.2025 -19.09.2025 search data from Google Trends for terms related to slang words.

Methodology: We used Google Trends to discover the top trending slang terms and Ahrefs to find the number of searches. Americas most popular slang terms can be discovered in Google Trends through the keyword ‘meaning’. People will hear or read slang terms and search for the meaning of the term (example ‘mogging meaning’). Ahrefs shows many variations of meaning searches like ‘slang’ or ‘trend’ (example ‘mogging slang’) and similar keyword combinations (example ‘ what does demure mean’). We added up 150 search variations of top slang terms.

The words recorded in the US can be compared with this list of slang collected in UK schools by Teacher Tapp in August…

https://teachertapp.com/uk/articles/down-with-the-kids-slang-in-british-classrooms-2025/

Earlier this month I spoke to Avantika Bhuyan, Editor at India’s Mint Lounge magazine, about the youngest online cohort, Gen Alpha. She asked me how their interactions with technology and language differed from their predecessors…

Gen Alpha are of course the first generational cohort to have grown up wholly surrounded by digital technology, digital media and the online culture that accompanies them. They are adept at using the hardware – mobile phones, tablets, gaming gadgets – but also unlikely to be dazzled by these already dated mechanical devices. They have sometimes returned to old fashioned film cameras and Polaroids, wind-up watches, puzzles and pinballs as interesting relics (something which in older users is described by theorists as ‘haptic nostalgia’. For them AI isn’t a terrifying threat but just part of the digital landscape they navigate daily.

Gen Alpha are active on YouTube (short-form video by preference), Instagram and – especially – TikTok where they can participate and emulate, or react to influencers and content-creators and individual TikTok celebrities, This media reinforces accelerated performances, exaggerated poses and a pervading sense of self-consciousness, self-mockery, irony and absurdist humour, prompted partly by their collective anxiety at being on display, surveilled and judged 24/7.

Gen Alpha slang, like GenZ’s differs from that of older generations in that it’s not just language that arises ‘naturally’, escaping from the streets or disseminated by movies, TV and the music industry. The language they use has often been generated deliberately by techbros, influencers and microcelebrities who are not just trying to communicate but to gain prestige, kudos. The slang they use also differs from older versions in ways which are interesting to linguists like me: the ‘words’ are not just words but operate virally like memes and, like memes, they are ‘multimodal’, made up not just of writing or sounds like traditional words but accompanied by images, sound effects, references to other messages, in-jokes, puns, etc.

Older generations often find Gen Alpha’s vocabulary baffling, ridiculous or annoying – unsurprisingly since the language is used in part to project behaviour and values that are alien to parents, teachers. Key words – such as ‘skibidi’ – may actually be meaningless, more comic gestures than information-bearers and the passing visual fads and fashions that Gen Alpha (and Gen Z) indulge in – microtrends and looks and what they call ‘aesthetics’ or ‘vibes’- are not designed to last.

There may be serious effects to these innovations and new behaviours. Dating is much more fraught, more competitive when its potentially being exposed globally, and partners’ motives may be even more conflicted, contradictory and mutable when the rituals of romance are playing out in an environment already disrupted by older generations’ repertoire of ‘ghosting’,  ‘gaslighting’, ‘benching’ and ‘breadcrumbing’.

Above all we older people mustn’t underestimate Gen Alpha. They may sometimes be victims of the toxic aspects of digital culture, but they are also adept at coming to terms with it, manipulating it to their own advantage – or knowing when to reject it.

Avantika’s long feature on Gen Alpha is here…

Another way in which mainly younger creators and communicators are changing language is by way of Algospeak, the online code used to disguise messages and evade surveillance…

https://www.dazeddigital.com/life-culture/article/68773/1/algospeak-and-performing-for-the-algorithmic-imaginary?utm_source=The%20Drop%20%28new%20master%2C%20engaged%20audience%29&utm_medium=email&utm_campaign=The%20Drop%2030.09.25%20%2801K6DE7T778G8CA8V3MJVG9RD2%29&_kx=VqOlbvI-XfM1UZnIHgww3HUoHkUNg3Z5eyYSN8HS5iw.YsDqRL

*In October I spoke to BBC Radio London about the phrase ‘six seven‘ (number one lookup in the US, above) which had now come to the attention of British media, having crossed over from TikTok performances and online posting to real-life irritation of UK teachers and parents. The meaningless phrase, unrelated to the very old expression ‘at sixes and sevens’ (in a state of confusion or disorder) which was used by Chaucer and Shakespeare, was being chanted with accompanying gestures (outstretched arms, palms upward) to tease, baffle and mock adults. Its young users were possibly unaware of its origins in the lyrics of a rap track by US artist Skrilla and its subsequent adoption by basketball stars and their followers.

Nobody as far as I know has yet mentioned – as my friend Nicky Hill reminded me – that the same numbers were already in use in South London in a more sinister context…

https://en.wikipedia.org/wiki/67_(group)

And, also on Twitter, from Celandine an intriguing tangential suggestion…

‘I saw something suggesting that parents take the opportunity to cite Deuteronomy 6:7! “You shall teach them (the Commandments) diligently to your children, and shall talk of them when you sit in your house, and when you walk by the way, and when you lie down, and when you rise.”’

On the eve of All Hallows Eve the Guardian continued the narrative…

https://www.theguardian.com/commentisfree/2025/oct/30/six-seven-meaning-slang

And for those who remember…

In November I was interviewed by Laura Cannon for BBC Bitesize, again about viral slang and trending youth language and its implications. Laura’s article is here…

6-7 and the ‘secret’ language of kids – BBC Bitesize

In December Dazed magazine featured its recommendations for Christmas gifts alongside a list of the year’s archetypes – the new identities which have replaced or reinforced the aesthetics, vibes and microtrends of 2024…

The 2025 Christmas archetype gift guide | Dazed

THE FIRST FEW WORDS

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– of 2025

Back in December last year I wrote a second opinion piece on words of the year for the Conversation. You can find it here… *

At the end of January this year the Lexis Podcast team kindly invited me to discuss some of those words and why – if – they were really significant. We also looked at new terms recorded in 2025 so far, making a first attempt to explain and assess them, and to wonder which if any of them might endure. Our discussion, which went on for 40 minutes, is here…

…and, from February, a little puzzle for you. Can you unscramble and reassemble these two-word novelties? (Thanks to simplewordcloud.com)

It’s now July, and my attempts to go on recording this year’s wholly new, or reworked and updated terms and expressions have been interrupted by the need to react to the news-cycle – to the sinister euphemisms, avoidances and untruths perpetrated by war criminals, would-be dictators and their servants in the media. Examples of their language have been added my glossary of toxic terminology and the updated version is here…

A GLOSSARY OF WEAPONISED* WORDS, BREXITSPEAK and THE TOXIC TERMINOLOGY OF POPULISM

John Belgrove reminded me that in May Donald Trump bragged of coming up with a new word – ‘a good word’, but the word in question was ‘equalising’. I have managed nonetheless, with the help of other friends and contacts on Twitter, BlueSky, Instagram and Facebook, to gather a few more examples of lexical innovation, candidates for an end-of year survey in due course…

But I would very much welcome suggestions of other new words and phrases, ideally together with their meanings and comments on their usage in context. All donations will be credited and donors thanked.

*https://theconversation.com/most-words-of-the-year-dont-actually-tell-us-about-the-state-of-the-world-heres-what-id-pick-instead-246190

QUIET QUITTING, TWO-TIMING OR DOUBLEDATING?

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A (nearly) new lexicon describes new attitudes to work

I spoke last week to Financial Times journalist Emma Jacobs about so-called ‘Polygamous Working‘, part of the new vocabulary of the workplace generated by younger employees still coming to terms with a post-pandemic work-life balance. Holding a second job is not necessarily illegal providing it is disclosed, but recent reports describe hundreds of public sector workers in the UK illicitly receiving multiple salaries from simultaneous jobs. When the idea of a polyamorous workplace first surfaced three or so years ago, some business gurus hailed it as a positive trend: “Polygamous careers are giving workers the opportunity to hone new skills, fully leverage their knowledge, and pursue numerous interests at once. The emphasis is on contributing to various projects and roles, as opposed to working exclusively with a specific employer.”

“In this context new expressions like “quiet quitting” and “task masking” are gaining traction. They are, says writer and lexicographer Tony Thorne, “self-consciously coined and promoted like memes”, designed to go viral. Thorne thinks this suggests the young people using them are not lazy, but “more resistant to accepting traditional notions of work, workplaces and work etiquette”. Perhaps no surprise, given they grew up in the aftermath of Brexit and the pandemic.“

Gen Z in particular have a different take on work-life balance and really on the nature of work itself I think. They approach these things as part of a wider matrix of lifestyle modes, (self-help and self actualisation and curating relationships) what they call ‘vibes’ and ‘aesthetics’ and performative behaviour. We can’t forget also that their behaviour even at work often reflects their pervasive use of irony, sarcasm and self-parody.

This is reflected in the terminology they have adopted of course. I think another aspect which hasn’t been discussed much is the fact that GenZ have not been conditioned by the sort of corporate culture, office culture or lingering work ethic that Gen X and millennials were conditioned by. Add to this the fact that they more than anyone have undergone the disruption caused by Brexit, the aftermath of austerity and the pandemic and so may be more resistant to accepting traditional notions of work, workplaces and work etiquette.

There is yet another way in which things are different for younger cohorts. They exist in a globalised online reality where trends in behaviour are not driven by ‘authorities’ or ‘professionals’ but by influencers and content creators chasing clicks and clout. New expressions are not just words or phrases which spread by word of mouth but may be self consciously coined and promoted like memes. They may not simply exist as sounds and spellings but also accompany images and soundtracks (as on TikTok). Linguists might call them ‘multimodal‘.

Neither the notions they describe or the terms themselves are completely new. Back in 2005* I reported ironic office slang such as ‘FaceTiming’, just putting in an appearance to suggest dedication to the job, ‘Sunlighting’ (like moonlighting), aka ‘Dual Jobbing‘, doing a quite different job one day a week. ‘WFH‘, ‘Remote Working‘, ‘Hybrid Working‘ – and ‘Side Hustles‘ – were later coinages prompted by enforced flexibility. The end of the pandemic saw the ‘Great Resignation‘ of 2021 as disillusioned workers supposedly abandoned unfulfilling careers en masse. Employers were encouraged to promote ‘Cross-Skilling‘, training staff to perform a wider range of functions, and ‘Job-Crafting‘, allowing employees to design their own roles.

Emma’s article with contributions from Bobby Duffy, director of the Policy Institute at King’s College London, is here…

https://www.ft.com/content/e3349ea5-50f7-447b-b466-750e038f706b

*From Shoot the Puppy -A survival guide to the curious jargon of modern life

Writing in the Conversation, John-Paul Byrne has more on the ‘quiet quitting ‘phenomenon…

The trend for ‘quiet’ and ‘soft’ quitting is a symptom of our deteriorating relationship with work

GOING VIRAL, GOING GLOBAL

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youth slang crosses world englishes

Last week I was interviewed by two young journalists about the pervasive slang generated by Gen Z and Gen Alpha. Interestingly both journalists are operating outside the US/UK matrix from which much of this language variety emanates. Interestingly too, both journalists asked similar questions about the latest linguistic novelties and how we might respond to them. Kanika Saxena‘s piece appeared in the Economic Times of India, and my contribution is here…

1. How do new slang words take root in a generation? Do they slowly build momentum, or does one viral moment suddenly put them everywhere?

In the past it could take some time for slang to escape from the local social group (‘in-group’ or ‘peer group’: a group of friends, a gang, fellow workers, etc.) where it originates into the outside world, then to spread by word of mouth into other parts of society, finally perhaps being picked up by the entertainment or print media. Nowadays this process has been massively speeded up by messaging and the internet, so that a novel term can go viral and reach beyond its original community almost instantaneously. New expressions can spread via social media and platforms like TikTok, Youtube, InstaGram right across the ‘anglosphere’ and go global.

2. Some words stick around for decades, while others vanish overnight. What makes certain slang words stand the test of time?

Linguists have tried to analyse why some terms become briefly fashionable and then disappear while others endure. There don’t seem to be any rules that govern why this happens. Some experts think that words which convey important social or technological innovations or that reflect current ‘moods’ or preoccupations are likely to have a longer appeal, but there’s no real proof of this. It could also be because a word relates to important social behaviour or relationships: insults, terms of endearment, ‘dating’ language, complaining, identity labels, for example, have to be reinvented for each successive generation, then persist until their users mature or grow older.

3. With social media throwing new words at us daily, are we actually creating more slang than before, or does it just feel that way because everything is amplified online?

It’s hard to say if the total ‘volume’ of slang has increased because, in the past at least, it was impossible to quantify it. What is definitely true is that slang has for some time become more accepted by mainstream media whereas it used to be censored or ignored. We also have the very new phenomenon whereby influencers, TikTok stars and content creators are using online resources to consciously, deliberately create, promote and spread new terms, so slang is no longer just coming ‘up from the streets’ (or spread via music, TV and movies) but is a commodity exchanged and pushed to gain prestige or sell oneself.

4. Older generations always seem skeptical of new slang—until, of course, they start using it too. What’s the secret to a word crossing generational lines?

Parents, teachers and ‘authority figures’ generally start by decrying younger people’s language and avoiding or ignoring it or trying to ban it. (This isn’t really justified by the way: slang may be seen as socially marginal but is not technically deficient or defective language and uses the same techniques as poetry or literature) But if a term is adopted by the media (‘woke’ is an example) they may in a few cases start to use it themselves. Technological terms (‘spam’, ‘troll’ etc.) and lifestyle jargon may be invented or used by older speakers. I always warn parents, though, not to try and imitate their kids by borrowing their slang. In the kids’ own language this is extremely ‘cringe’.

My second interview was with Austėja Zokaitė who is based in Lithuania and it appears in the online magazine Bored Panda, an arresting and anarchic daily roundup of the latest viral images, memes and commentary on internet culture. The whole report is here, with my comments interspersed with the succession of visual elements…

This IG Page Shares “Hard” Images, And Here’s 30 Of The Most Unhinged

Two weeks later I took part in a podcast on the subject of Slang, hosted by US students Sophie Xie and Andrea Lee. Our discussion is here…

Dang, What’s That Slang? by Andrea Lee

INITIAL FINDINGS

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more updates on 2025’s language landscape

Once again, I’m very grateful indeed to Randoh Sallihall of Unscramblerer.com for sharing his data on language usage online. I previously posted his analysis of last year’s slang lookups (online searches)* and this time his findings reveal the most popular internet text abbreviation lookups in 2025 so far, for the UK and the USA. I was amused to see SMH (‘shaking my head‘) featuring high in both lists. A few years ago I confidently stated in a BBC radio interview that this stood for ‘same here’ – as I had just been informed by a group of schoolkids. I was immediately and publicly corrected – and shamed – by presenter Anne McElvoy and invited journalist Hannah Jane Parkinson and the bitter experience has stayed with me.** It may be culturally significant also that Britain’s favourite apology – in the form of SOZ – doesn’t feature at all on the American list.

“Analysis of Google search data for 2025 so far reveals the most searched for text abbreviations in the UK.”

Most searched for text abbreviations in the United Kingdom:

1.      POV (39 000 searches) – Point of view.

2.      SMH (34 000 searches) – Shake my head.

3.      PMO (28 000 searches) – Put me on.

4.      ICL (17 000 searches) – I Can’t Lie.

5.      OG (16 000 searches) – Original gangster.

6.      OTP (16 000 searches) – One true pairing.

7.      NVM (13 000 searches) – Never mind.

8.      TM (11 000 searches)- Talk to me.

9.      SN (7 000 searches) – Say nothing.

10.   BTW (6 000 searches) – By the way.

11.   KMT (6 000 searches) – Kiss my teeth.

12.   FS (6 000 searches) – For sure.

13.   WYM (6 000 searches) – What you mean.

14.   HRU (6 000 searches) – How are you?

15.   ATP (5 000 searches) – At this point.

16.   SYBAU (5 000 searches) – Shut your b—h ass up.

17.   IGHT (5 000 searches) – Alright.

18.   ONB (4 000 searches) – On bro.

19.   WSP (4 000 searches) – What’s up?

20.   TY (4 000 searches) – Thank you.

21.   SOZ (3 500 searches) – Sorry.

22.   IDC (3 000 searches) – I don’t care.

23.   LDAB (3 000 searches) –  Let’s do a b-tch.

24.   PFP (3 000 searches) – Picture for proof.

25.   IBR (3 000 searches) – It’s been real.

26.   IYW  (3 000 searches) – If you will.

27.   TB (2 500 searches) – Text back.

28.   FYI (2 500 searches) – For your information.

29.   GTFO (2 500 searches) – Get the f–k out.

30.   HY (2 000 searches) – Hell yeah.

Most searched for text abbreviations in the United States:

1.      FAFO (254 000 searches) – F–k around and find out.

2.      SMH (166 000 searches) – Shake my head.

3.      PMO (101 000 searches) – Put me on.

4.      OTP (95 000 searches) – One true pairing.

5.      TBH (93 000 searches) – To be honest.

6.      ATP (85 000 searches) – At this point.

7.      TS (79 000 searches) – Talk soon.

8.      WYF (76 000 searches) – Where are you from.

9.      NFS (75 000 searches) – New friends.

10.   ASL (65 000 searches) – As hell.

11.   POV (63 000 searches) – Point of view.

12.   WYLL (59 000 searches) – What you look like.

13.   FS (58 000 searches) – For sure.

14.   FML (56 000 searches) – F–k my life.

15.   DW (55 000 searches) – Don’t worry.

16.   HMU (54 000 searches) – Hit me up.

17.   ISO (53 000 searches) – In search of.

18.   WSG (50 000 searches) – What’s good?

19.   IMO (48 000 searches) – In my opinion.

20.   MK (45 000 searches) – Mmm, okay.

21.   ETA (40 000 searches) – Estimated time of arrival.

22.   ICL (37 000 searches) – I Can’t Lie.

23.   MB (37 000 searches) – My bad.

24.   STG (29 000 searches) – Swear to god.

25.   ION (28 000 searches) – In other media.

26.   PFP (27 000 searches) – Picture for proof.

27.   NTM (27000 searches) – Nothing much.

28.   DTM (26 000 searches) – Doing too much.

29.   TTM (26 000 searches)- Talk to me.

30.   MBN (25 000 searches) – Must be nice.

31.   ETC (24 000 searches) – And the rest.

32.   BTW (23 000 searches) – By the way.

33.   WFH (21 000 searches) – Work from home.

34.   GMFU (20 000 searches) – Got me f—-d up.

35.   NGL (19000 searches) – Not gonna lie.

36.   SYBAU (19 000 searches) – Shut your b—h ass up.

37.   BTA (17 000 searches) – But then again.

38.   SB (17 000 searches) – Somebody.

39.   HBD (16 000 searches) – Happy Birthday.

40.   PMG (15 000 searches) – Oh my god.

41.   HY (15 000 searches) – Hell yeah.

42.   TMB (11 000 searches) – Text me back.

43.   WYS (10 000 searches) – Whatever you say.

44.   GNG (9 000 searches) – Gang (close friends or family).

45.   IKTR (8 000 searches) – I know that’s right.

46.   IKR (7 000 searches) – I know, right?

47.   ARD (6 000 searches) – Alright.

48.   IFG (5 500 searches) – I f—–g guess.

49.   HN (4 000 searches) – Hell no.

50.   TTH (3 000 searches) – Trying too hard.

A spokesperson for Unscramblerer.com commented on the findings: “Text abbreviations are the secret language of the internet. You could even call them an integral part of social media culture. Snappy, always changing and hard to understand. Texting abbreviations is all about saving time and appearing cool. Keeping up to date with the newest trending abbreviations is no easy task. Old meanings can change while new abbreviations are created. A recent study found that abbreviations might not be as cool as people think. Using abbreviations makes the sender seem less sincere. This also leads to lower engagement and shorter responses. There is nothing wrong with using abbreviations in casual conversations with friends and family. However it is best do draw a line for professional conversations. Context matters.”

Research was conducted by word finding experts at Unscramblerer.com.

We analyzed 01.01.2025 -05.03.2025 search data from Google Trends for terms related to text abbreviations.

Methodology: We used Google Trends to discover the top trending text abbreviations and Ahrefs to find the number of searches. America’s most popular text abbreviations can be discovered in Google Trends through the keyword variations of ‘meaning text’. Abbreviations are used most often on social media and texting. The 2025 top trending abbreviations are the least understood. People have to search for their meaning (example ‘TBH meaning text’). Ahrefs shows many variations of meaning searches like ‘text meaning’ or ‘means in text'(example ‘PMO meaning in text’) and similar keyword combinations(example ‘what does SMH mean in text’). We added up 100 search variations of top text abbreviations.

I was very grateful, too, when Claire Martin-Tellis of content marketing and digital PR specialists North Star Inbound contacted me with an update, again from the USA, on attitudes to outdated slang…

“As new slang terms like “Beta,” “GYAT,” and  “Skibidi,” continue to surface, it’s enough even to make Gen Z feel old! Language learning app Preply asked Americans of all ages to weigh in on their favorite era of slang. Here is what decade reigns supreme:

  • Over ⅓ of Americans say the 1990s is their favorite decade for slang.
  • Men surveyed preferred the 1970s while women preferred the 1990s.
  • “Baloney,” “take a chill pill,” and “bogus” are the three most popular slang terms Americans want to see come back.

*https://language-and-innovation.com/2024/11/18/the-search-for-slang/

**the embarrassment is still audible here…https://www.bbc.co.uk/programmes/b06vs6g2

LANGUAGE REPLICATION – OR LANGUAGE INNOVATION?

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Are the machine learning tools and chatbots that work with human language creating, or just impersonating?

I spoke this week to Rob Booth, the Guardian’s UK Technology Editor, about the latest interfacing between AI and human language interactions, a topic I am only just beginning to explore. Rob’s perceptive analysis with contributions from my friend Professor Rob Drummond, is here…

https://www.theguardian.com/society/2024/dec/11/ai-tone-shifting-tech-could-flatten-communication-apple-intelligence

A few days earlier French business journalist Jacques Henno asked if AI could now actually create language rather than merely replicate it or imitate it…

“I’d like to know your opinion on the impact of generative AI tools on language evolution. These tools, such as OpenAI’s ChatGPT, Google’s Gemini, Anthropic’s Claude, and others, don’t invent but simply reproduce learned content. What do you think their influence will be on written and spoken language?”

Primitive versions of AI have been used for some time to generate new terms, notably brand names and product names. These can be generated by entering desirable associations or attributes plus related names or keywords into an engine which will produce new combinations of words or completely new items of vocabulary.

Likewise, there have been business or corporate ‘jargon or buzzword generators’ in use for some years which can be activated for fun to create new (and supposedly absurd or comical) terms. https://www.feedough.com/business-jargon-generator/

AI can already create new languages in order to translate or interpret communication systems and to mediate between other non-human ‘languages’ such as programming languages or symbolic or mathematical systems. These languages however are not generally usable for normal human interactions and not normally recognisable as languages by non-specialists 

More recently, more powerful and sophisticated AI tools have been introduced which claim to work with the technical mechanisms and structures of existing languages (the ways in which English, French, Russian, etc. form words and attach word-endings, change nouns to verbs, for example and the way in which Hungarian, Mandarin, Hindi, etc. arrange words or characters in order) and with their use of metaphor and semantic shift (extending the meaning of a concept). These can already create new words. Two examples are here…

https://alibswrites.medium.com/times-are-changing-will-ai-create-our-new-vocabulary-12f6f68a7890

https://www.independent.co.uk/tech/ai-new-word-does-not-exist-gpt-          2-a9514936.html

But despite the sophistication of the latest Large Language Models and language-generating AI tools, there are still predictable areas in which the material they produce is often deficient or defective. Real language innovation does not just involve using the structures of existing languages or adding prefixes or suffixes to existing words or combining syllables in a new way. Even a machine-learning tool which can understand and manipulate metaphor, synonymy, imagery can’t yet grasp the subtleties of human inventiveness, or the psychological and physical processes involved in making new language which is genuinely usable, pleasing, convincing and ‘authentic’. Creating new words involves – as in literature, poetry but also in everyday professional or social life – drawing on cultural allusions, references to shared values, knowledge of fashion, beliefs, cultural history, local conditions, jokes and styles of humour, etc. Apart from style, register, tone, appropriacy (tailoring one’s choice of words to the context in which they are used), etc. another key linguistic concept that AI will struggle to cope with is ‘implicature’, the human tendency to express things indirectly, to infer.

Another aspect of language which AI finds it hard to understand or replicate is what is called ‘phonaesthetics’ or ‘sound symbolism’. This involves the sounds and pronunciations (and the look of the word on the page too) of words and the psychological effects these sounds have on the mind of the hearer, many of the words created by AI just don’t sound or look like real words. This has been a problem in generating brand names or product names, many of which look or sound ugly and unappealing to potential consumers or users.

There are so many tiny social cues in real-life human interactions that are not always pattern behaviour or even precedented and are often based on abstract ideas. They may also involve allusion, shared cultural reference and often irony and humour. There is also something called ‘embodied metaphoricity’: “For a mental representation to be “embodied” in the sense most commonly invoked by metaphor researchers, it must be instantiated at least in part by a simulation of prior or potential bodily experiences, within modality-specific components of the brain’s input and output systems (e.g., visual cortex, motor cortex; Barsalou 1999)”, in other words understanding is ‘seeing’, knowing is ‘grasping’. Humans activate this instinctively and can reflect on it intellectually: AI in its present incarnations can’t do either.

Developers and programmers are well aware of many, if not all, of these problem areas and are energetically attempting to address them…

https://www.sapiens.org/language/ai-oral-languages/

My observations so far have been based on a very superficial understanding of exactly how large language models and generative AI work. I’m therefore very grateful indeed to Dr Joe McIntyre for his recommendation of this explanatory guide…

https://arstechnica.com/science/2023/07/a-jargon-free-explanation-of-how-ai-large-language-models-work/

I’m recommending a role for linguists in monitoring AI’s ability to understand or replicate the nuances of human speech. This project is pioneering a sociolinguistic approach to the question of bias in AI-generated content…

https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1472411/full

Very belatedly I asked ChatGPT itself to tell me about AI’s drawbacks in handling or reproducing human language. It offered me two responses which I reproduce here…

The first response…

AI has made great strides in handling human language, but it still has notable weaknesses:

  1. Context Limitations: AI struggles with maintaining long-term context in lengthy conversations or documents, which can lead to inconsistencies or irrelevant responses.
  2. Ambiguity: Human language is often ambiguous, and AI might misinterpret subtle nuances, slang, or idiomatic expressions, leading to incorrect or nonsensical outputs.
  3. Lack of World Knowledge: While AI can access vast amounts of information, it lacks true understanding or lived experience, which can make it difficult to handle subjective, emotional, or cultural contexts.
  4. Subtlety in Tone: Sarcasm, irony, and humor are challenging for AI to detect and respond to appropriately, especially without clear contextual markers.
  5. Ethical Judgment: AI can falter in making ethical or moral judgments when the appropriate course of action requires nuanced human values or cultural sensitivity.
  6. Bias in Training Data: AI can inherit and even amplify biases present in its training data, leading to unfair or problematic language generation.
  7. Difficulty in Creative Expression: While AI can mimic creative writing styles, it often lacks originality, deeper insight, or the emotional depth that comes from human creativity.
  8. Overconfidence: AI can confidently provide incorrect answers because it doesn’t inherently know when it lacks the required knowledge or context to respond accurately.

The second response…

1. Lack of True Understanding

  • AI processes language based on patterns and statistical associations but doesn’t truly “understand” meaning or context the way humans do. This can lead to misunderstandings or inappropriate responses in nuanced situations.

2. Ambiguity in Context

  • Human language is highly context-dependent. Ambiguities, idioms, sarcasm, or double meanings can confuse AI, especially if the context is insufficient or contradicts typical patterns.

3. Inability to Handle Novelty

  • AI struggles with completely new or rare scenarios that lack sufficient training data. If faced with language or ideas it hasn’t been trained on, it might provide irrelevant or nonsensical responses.

4. Bias in Language Models

  • AI models can inherit biases from their training data, leading to biased or insensitive outputs. These biases reflect the data sources used and are difficult to eliminate completely.

5. Rigidity in Logic

  • AI often interprets instructions literally and may struggle with flexible or creative problem-solving, especially when the input is vague or requires unconventional reasoning.

6. Lack of Emotional Intelligence

  • While AI can mimic empathetic responses, it lacks genuine emotional awareness or the ability to fully grasp the emotional subtext in complex human interactions.

7. Limited Common Sense

  • Despite improvements, AI still struggles with common-sense reasoning, particularly when it involves understanding the physical world or day-to-day human experiences.

8. Overconfidence in Responses

  • AI can sometimes generate confident-sounding but incorrect or misleading answers, as it has no internal mechanism to distinguish between what it knows well and what it doesn’t.

9. Difficulty with Long-Term Coherence

  • Maintaining coherence in extended conversations or texts can be challenging for AI, especially when the discussion involves multiple threads or evolves over time.

10. Cultural and Linguistic Nuances

  • AI may falter in understanding or generating culturally specific expressions, regional dialects, or less commonly spoken languages, especially if training data is sparse.

I later spoke to author Mark Piesing on the same subject, and his very informative review in the Bookseller is here…

https://www.thebookseller.com/comment/servant-or-master

Dan McIntyre (a Twitter mutual) is among the first linguists to subject the capacities of large language models to expert analysis…

https://www.sciencedirect.com/science/article/pii/S0378216625000323

And in May 2025 I came across this interesting study which, at first sight, seems to suggest hitherto unexpected capacities for AI in precisely the areas suggested as deficient above…

Click to access 2025.naacl-long.544.pdf

In September 2025 Wikipedia published an excellent review of writing styles and linguistic cues detectable in AI-generated texts…

https://en.m.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing

THE SEARCH FOR SLANG

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Researching and tracking the latest slang can now draw upon statistical analysis of online data.

As 2024 draws to its end and talk among lexicographers, culture journalists and language buffs turns to ‘words of the year’, I’m immensely grateful to Randoh Sallihall of Unscramblerer for providing me with his datasets showing lookups (Google searches) for the most popular recent slang expressions…

Most searched for slang words in United Kingdom:

1.      Gaslighting (170 000 searches) – a type of manipulation that makes you doubt your memories and feelings. The person doing it may lie and deny things.

2.      Skibidi (125 000 searches) – refers to a viral internet trend featuring surreal, animated videos of singing toilets and dancing heads, popularized on platforms like TikTok for its bizarre humor.

3.      Pookie (47 000 searches) – to show endearment and affection. Used for a close friend, partner or family member. A playful way to say someone is special.

4.      Hawk tuah (40 000 searches) – imitative of a spitting sound. The catchphrase originates from a viral street interview conducted in June 2024 with Haliey Welch, who stated that her signature move for making a man ‘go crazy’ in bed was to ‘give him that hawk tuah and spit on that thang’.

5.      Sigma (37 000 searches) – refers to an independent, self-reliant person who operates outside traditional social hierarchies, often described as a ‘lone wolf.’

6.      SMH (31 000 searches) – internet slang for ‘shaking my head’. Used to express disapproval or disappointment.

7.      Demure (26 000 searches) – reserved, modest or shy in manner or appearance. The TikTok user Jools Lebron made a series of viral videos using the phrase “very demure”. This trend gave the word a playful slang meaning. She uses it to assess appropriate makeup and fashion choices in various settings.

8.      Rizz (25 000 searches) – style, charm or attractiveness. The ability to attract a romantic partner and make others like you.

9.      Dei (17 000 searches) – diversity, equity, inclusion. A family friendly way of saying woke.

10.   Aura (13 000 searches) – the vibe someone gives off. When used by tweens and teens it is likely a reference to how badass someone is. Aura points make you cooler. So you definitely want to earn more aura points instead of losing them.

We can compare this list with Randoh’s equivalent for the USA, used in the Newsweek article posted previously to which I contributed, and reproduced here with his explanatory comments…

Analysis of Google search data for 2024 reveals the most searched for slang words in America:

1.      Demure (260 000 searches) – reserved, modest or shy in manner or appearance. The TikTok user Jools Lebron made a series of viral videos using the phrase “very demure”. This trend gave the word a playful slang meaning. She uses it to assess appropriate makeup and fashion choices in various settings.

2.      Sigma (220 000 searches) – refers to an independent, self-reliant person who operates outside traditional social hierarchies, often described as a ‘lone wolf.’

3.      Skibidi (205 000 searches) – refers to a viral internet trend featuring surreal, animated videos of singing toilets and dancing heads, popularized on platforms like TikTok for its bizarre humor.

4.      Hawk tuah (180 000 searches) – imitative of a spitting sound. The catchphrase originates from a viral street interview conducted in June 2024 with Haliey Welch, who stated that her signature move for making a man ‘go crazy’ in bed was to ‘give him that hawk tuah and spit on that thang’.

5.      Sobriquet (105 000 searches) – a nickname or descriptive name given to a person or thing. Borrowed from French sobriquet (nickname).

6.      Schmaltz (65 000 searches) – refers to excessive sentimentality or melodrama. Often used for art, movies, music or storytelling if there is too much sappiness.

7.      Sen (50 000 searches) – slang for self.

8.      Katz (34 000 searches) – a term for anything enjoyable, fun or pleasing. It can also mean ‘yes’.

9.      Oeuvre (25 000 searches) – refers to the complete works produced by an artist, writer or composer. A word used by literature professors to express superiority.

10.   Preen (20 000 searches) – slang for a child who tries to act like a teenager(wears teen clothes or makeup).

A spokesperson for Unscramblerer.com commented on the findings: “The English language is ever changing. Every year new slang words are created. Many slang words are born through trending topics and viral videos on social media. However only few manage to stick around long enough to be added to the dictionary and remain in daily use. Slang words are a normal and fun evolution of language. We encourage everyone to learn some new words and surprise their children by using them.”

Research was conducted by word-finding experts at Unscramblerer.com.

We analyzed 01.01.2024 -25.10.2024 search data from Google Trends for terms related to slang words.

Methodology: We used Google Trends to discover the top trending slang terms and Ahrefs to find the number of searches. Americas most popular slang terms can be discovered in Google Trends through the keyword ‘meaning’. People will hear or read slang terms and search for the meaning of the term (example ‘demure meaning’). Ahrefs shows many variations of meaning searches like ‘slang’ or ‘trend’ (example ‘demure slang’) and similar keyword combinations (example ‘what does demure mean’). We added up 150 search variations of top slang terms.

A few days after Randoh’s findings were published, I was asked by Robert Milazzo* to take part in the masterclass on new slang and youth language that he convened at Virginia Commonwealth University. The whole lively one-hour event was recorded and can be accessed here…

https://drive.google.com/file/d/1yYlV7LkKdEf5AqFF-bJQAfIE5s5PUpGi/view?usp=sharing

Robert’s class was particularly illuminating, allowing as it did for contributions from young slang users themselves and from puzzled old-timers too. Bear in mind that the samples handled by data analysts are taken solely from online usage and not from authentic speech. Nearly all the slang used on TikTok, YouTube, Instagram, etc. originates in the USA whereas the slang terms used by British youth in their IRL conversations will differ considerably from their North American counterparts, showing much greater influence from African Caribbean rather than African American sources.

*https://www.linkedin.com/in/robert-milazzo-3a8860116/

THE DISCOURSE OF DIVISION

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The US election campaign through a language lens

As the campaigning reached its climax and the polling-stations began to open, I spoke to Kate O’Connell and Gemma Chatwin of the Corporate Communications Team at King’s College London about the language used by the rival candidates, their aides and their supporters during the twelve months since the election process began. Kate and Gemma’s questions are below with my replies…

  • As a language specialist, what have you observed/found interesting about the US election?

One thing that strikes an outsider – British or European, I suggest – is the different  nature of the vocabulary and rhetoric employed in US campaigning: the seemingly chaotic and unrestrained messaging, pivoting and veering unexpectedly into new areas sometimes, showing a lack of consistency, except in tone (Trump’s particularly). There is actually less reliance on a narrow range of repeated specific keywords, slogans and soundbites than has been the case in UK political campaigning – for Brexit, during the pandemic and in the recent election: (‘Take back control’, ‘Brexit means Brexit’, ‘Eat out to help out’, ‘Stop the Boats’ etc.). The Republicans’ messages have been more consistent in emphasising a few key ‘wedge’ issues while Democrats seemed to take a long time to decide on their priorities in terms of focus.

  • How has the language used by both candidates differed? What does their language tell us about their campaign strategy/ voter base?

Linguists – myself included – have tried to track the formulations (not so much genuinely new language as reworking of familiar tropes) used by each side and measure the frequency with which particular topics and particular trigger-words recur. Donald Trump has employed a vocabulary containing many examples of the language of fear and violence, and much intemperate language throughout: ‘vermin’, ‘criminal migrants’, ‘the enemy from within’, ‘radical left lunatics’, and words evoking existential threats: ‘invaded’, ‘conquered’, ‘occupied’, ‘deportation’ and violence: ‘kill’, ‘death’, ‘blood’, ‘nuclear war’, ‘guns trained on her face’. One analysis concluded that Trump had used more violent language than any other recent political orator except Fidel Castro!

Trump has consistently favoured the use of ‘I’ and ‘they’, Harris more often emphasising ‘we’. The Democrats on the other hand, while perhaps favouring less inflammatory language have possibly failed, until the closing days of the campaign (‘neighbors not enemies’ is a last-minute exception), to find memorable, resonant phrases to inspire and motivate. While initially hesitant, and despite Kamala Harris being accused in the more distant past of ‘word salads’ the Democrats, apart from Joe Biden, have been measurably more coherent, while many of Trump’s recent performances have been criticised as meandering if not incomprehensible. His justification for this being that he is practising ‘the weave’, a sort of improvisational incantation that his followers appreciate.

  • We have seen a lot of name-calling in the 2024 election, has it been effective?

A famous example of a slur which seems to have worked is Tim Walz’s characterising of Trump and the Republicans as ‘weird’. This is effective since the word is not especially offensive or toxic but frames the opposition as odd, eccentric, unstable in worrying ways, by implication disturbing – a relatively casual criticism of a community that is old and out of touch with reality. The Republicans accusing ‘immigrants’ of eating pet dogs and cats and likening Puerto Rico to a ‘floating island of garbage’ outraged their opponents, though Joe Biden also came unstuck when he reached for the same metaphor. It’s notable that both sides have used proxies to deliver some of the most stinging criticisms of the leaders, rather than have them delivered by the candidates themselves: ‘childless cat lady’ for example, or ‘unhinged, unstable, unchecked’ – words supplied by former Trump aides and reposted by the Democrats. One rather surprising blip in the unfolding news cycle occurred when Harris suddenly approved the f-word, agreeing when it was suggested to her that Donald Trump was a ‘fascist’. He quickly returned the insult, adding the ‘N-word’ which everyone had so far avoided: ‘I’m the opposite of a Nazi’. Both sides seem to have tacitly put those words aside for the final phase of the campaigning, though tellingly, in a final peroration J.D Vance urged followers to ‘take out the trash’ in reference to the Vice-President.

I think that outsiders listening in bemusement or horror at the campaign rhetoric misunderstand the nature of the voter bases involved. Doom-laden warnings and threats and angry braggadocio can be effective, reassuring and motivating to an audience for whom ‘make America great again’ carries a conviction that the country is at the mercy of hostile forces and on the edge of social breakdown. Conversely Kamala Harris’s more upbeat, feelgood emphasis attempts to instil a cheerful positivity which may not always have been backed up with hard facts or firm commitments (apart perhaps where reproductive rights are concerned).

  • Could this be the first election won on TikTok?

Kamala Harris’s folksy reference, early in the campaign, to having ‘fallen out of the coconut tree’ cleverly appealed to a family audience and referenced her own potentially controversial heritage in a positive way. She has also tried, seemingly with some success, to tap into the female and feminine constituency and the relatively youthful energy  displayed by users of TikTok, a platform which avoids threats and displays of anger and relies on self-promotion, performances of success and – crucially – an element of self-mockery and humour that is entirely missing from Donald Trump’s repertoire. TikTok currently occupies the high-ground of the social media landscape and is a valuable channel by which to reach millennials and GenZ (the latter voting for the first time) millions of whom are potential democrat supporters. It does not reach, however the middle-aged or elderly undecided. Celebrity endorsements apparently can motivate potential non-voters to change their minds and vote, but unsurprisingly probably only affect a demographic which is already on-side anyway (‘Swifties’ for example who are said to have added 400,000 votes to Harris’s tally). Elon Musk’s embracing of Donald Trump is more difficult to assess, as Musk’s own fanbase – tech bros, startup promoters and bitcoin traders among them – aren’t necessarily effective multipliers or influencers on his behalf or Trump’s and perhaps less likely to sway the undecided.

  • How did brat summer and ‘vibes’ benefit Kamala Harris’s campaign?

When pop icon Charli XCX posted her endorsement on X, ‘Kamala IS brat’, young women flooded social media with pro-Harris ‘brat’ memes, kickstarting her takeover from Biden and effectively labelling her as endearingly ‘messy, honest and volatile.’ The democrat campaign switched up to make good use of the tropes and tendencies of pop culture and entertainment media, receiving endorsements from many musicians and Hollywood names, culminating in their candidate’s surprise appearance on Saturday Night Live in which she launched viral versions of her own name -‘End the drama-la’, ‘Cool new step mom-ala’ and returned to that conflicted keyword, asserting that she would be able to open the ‘doors of the garbage truck’ that Trump had fumbled with. This confident banter in the very last moments of the campaign, along with her pivot, after Bill Clinton’s disastrous intervention, to promising some sort of support for Gaza, can only help the democrats’ chances, and these messages are featuring in places that Trump cannot usually access. Nevertheless the Republican candidate is doubling down on his insurrectionist rhetoric, welcomed by his base, saying now that he ‘should never have left the White House in the first place’.

My friend Serena Smith wrote perceptively for Dazed magazine about the role of celebrities in the presidential race…

https://www.dazeddigital.com/life-culture/article/64995/1/will-pop-culture-impact-the-result-of-the-2024-us-election

Once the race was over the avalanche of post-mortems and recriminations began. Among them were a few which focused, as I had tried to, on the discourse of division. In the New Yorker Joshua Rothman considered the very different flavour of the two parties’ language…

“Id been spending a lot of time watching interviews with Kamala Harris and Donald Trump – conversations that tended to be below average. On shows like “60 Minutes” and in her CNN town tall, Harris had been charming and trenchant but also repetitive and inflexible. Restrained by her determination to stay on message, she often failed to answer questions directly. Trump, for his part, lied, rambled and spouted nonsense as usual. And yet his lack of constraint at least made him entertaining…

…Harris and Trump’s flawed performances were typical of the duelling communications styles now wielded by Democrats and Republicans. Broadly, Democrats preach while Republicans riff; Democrats stick to their messages while Republicans let loose with whatever comes into their heads.”

In the Guardian Nesrine Malik convincingly dismantled the lazy consensus that held that the result was a defeat for the Democrats’ supposedly embracing ‘woke’ policies and relying on endorsement by ‘woke’ celebrities…

https://www.theguardian.com/commentisfree/2024/nov/25/woke-lost-us-election-patrician-class-identity-politics

LANGUAGE AND LONGEVITY – 2

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Dictionary makers and journalists are breathlessly – if not desperately – publicising the latest online language – but do they really understand it?

One week on, I spoke to Chloe MacDowell of the UK Guardian newspaper, then to Marni McFall of the US Newsweek magazine on the topic of TikTok language and the online messaging mannerisms of Influencers and GenZ. Chloe was interested in one particular trending TikTok catchphrase, Marni in the whole panoply of 2024’s viral innovations.

Once authentic conversations and personal interactions (previously happening in private spaces or local communities) began to feature on the internet and in messaging and on microblogging platforms,  language novelties, slang and faddish usages crossed over from a private realm into the global public domain. The latest slang and new language was visible, audible and immediately available to share. Obscure or exotic terms might quickly catch on and become viral favourites, spreading in some cases across the anglosphere more rapidly than print, broadcast or word-of-mouth transmission had ever been to achieve in the past.

Words and phrases began to function like memes, taking on sometimes a ‘multimodal’ aspect whereby sound and image could reinforce the purely verbal expressions that people chose to exchange and promote. Pre-internet there had always been catchphrases, what linguists call ‘vogue words’, slogans and soundbites, and keywords that somehow seemed to evoke or encapsulate some special aspect of the ‘zeitgeist’. What we have now is a much more knowing, deliberate intention (on the part of trend-setters, influencers, ‘thought-leaders’) to create new language to celebrate new identities and to promote new attitudes and lifestyle innovations to the widest possible audience.

Subcultures like surfers, valley girls, fanboys and girls, hip hop aficionados had always invented striking, expressive language and this is still true, but instead of niche culture we have ‘meganiches’, instead of subcultures we are dealing with globalised communities.

The fashionable language of TikTok and GenZ in particular is part of their wider obsession with vibes, aesthetics and microtrends, many of which arise and are discarded in rapid succession. The prevalent style is exhibitionist, self-promoting, allusive and often ironic, increasingly even absurdist, making it hard for outsiders to grasp the nuances in play. Older commentators and dictionary publishers struggle to keep pace, often misunderstand and record the terms in desperation (in their searches for ‘word of the year’ for example) just as they fall out of use.

The use of this language as an identity marker in an intensely competitive digital ecosystem means that the Gen Alpha cohort now ridicule GenZ usages as being out-of date, while GenZ is still deriding millennials for their old-fashioned ‘cringe’ vocabulary. At the same time would-be influencers practise bragging, ‘manifesting’ and other forms of self-congratulation in a search for clicks and clout.

One of the latest features of online wordplay is the elevating of an older concept or cliche into a teasing provocation or pretence at new insights, as we have seen with ‘delulu’, ‘demure’ and ‘mindful’, ‘rizz’ and ‘brat’. The current rash of declarations of ‘being privileged’ – a new version of ‘humblebragging’ or ‘virtue-signalling’ – is another example. In parallel is the ironic celebration of the incoherence or absurdity of much online discourse and of low-quality ‘slop’ by embracing a culture of ‘brainrot’ – nonsense memes such as ‘skibidi’ and vacuous, contagious content.

Most of the innovation in online language and image still emanates from the US and even though a global audience can access it instantly, its tropes (think ‘goblin-mode’ – ‘goblin’ doesn’t have the same associations for Brits) don’t always translate for other speakers of English. In parallel, poses, gestures and looks as well as music-related modes are increasingly generated from non-English cultural zones such as Japan and Korea. It will be interesting to see if other parts of the globe begin to play a part in the evolving online theatre of signs and behaviours, but this doesn’t seem to have happened yet.

Chloe’s piece is here…

https://www.theguardian.com/media/2024/nov/02/what-a-privilege-trend-catches-on-as-gratitude-makes-social-media-comeback?CMP=share_btn_url

And the Newsweek article is here…

https://www.newsweek.com/2024-most-popular-internet-slang-words-revealed-1978732

On the first of November Collins Dictionaries, ahead of the pack, had already announced their choice of word of the year for 2024, and their candidates illustrated the same, in my opinion mistaken, concentration exclusively on terms from a very narrow range of sources. While postings on social media are performances designed to attract attention, there is an even wider domain in which discourse demands analysis: the crises in the Middle East and Ukraine and the surreal spectacle of the US presidential campaigns, for example, are also highlighting keywords and generating new formulations or reworkings of language – data that mainstream media and lexicographers seem to think unworthy of their attention…

https://twitter.com/CollinsDict/status/1852139743112208794

LANGUAGE AND LONGEVITY -1

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Digital media enables language change and innovation – of course, but how much and for how long?

I spoke to Caitlin Talbot, Culture Researcher for the Economist magazine, who asked me about the effect of TikTok talk and the slang, catchphrases and viral puns invented by Gen Z. Caitlin wondered how many new terms were actually being added to the global conversation each year, and whether these novelties would last.

My own solo attempts to record new language and to understand and comment on its sources rely on fairly haphazard, old-fashioned techniques, so it’s not possible for me to quantify the lexical items, locutions, expressions and longer elements of discourse that I come across. The major dictionary publishers do have access to powerful and sophisticated electronic methods of scanning, scraping (‘aggregating’ as it should more properly be termed) raw linguistic data from across the internet. This material can be categorised to a certain extent and entered into giant databanks from which lexicographers can select the terms they periodically admit into published dictionaries.

Attempts to amass and analyse examples of language in use are nonetheless hampered by several considerations: the language in question is primarily in the form of text, rather than authentic speech, and the texts in question are largely recoverable from published sources and media platforms, only to a limited extent from personal messages. Tracking their use over time is possible, and the popularity of some usages can be subjected to frequency counts and represented on timelines, but private use and communications by local and specialist communities is far harder to assess. One of the more interesting challenges to the lexicographer is to predict which novel terms may become embedded in the national conversation and which drop out of use – some almost immediately and others over time. In fact my experience (since I began to collect slang in the 1980s) proves that it’s impossible to predict, let alone to speculate as to why this happens.

Caitlin’s article, with useful links, is here…(if it is paywalled for you, go to here *)

TikTok is changing how Gen Z speaks

In speculating about the number of new terms generated (and the playful, sometimes absurdist tendencies featuring on social media involve not only inventing new terms but reworking and re-purposing existing language like ‘demure’, ‘babygirl’, ‘millennial pause’, etc.) we can only fall back on subjective, anecdotal, incomplete accounts, even if these may be interesting and informative in their way…

TikTok Slang: The Exclusive Language of Gen Z (Study)

TikTok is full of made-up slang and trendbait | Vox

* TikTok is changing how Gen Z speaks

On social media new words spread far and fast

The illustration shows a playful evolution of speech bubble characters, progressing from a small, four-legged figure to a larger one riding a skateboard, against a bold red background
Illustration: Mark Long

Oct 21st 2024SavedShareGive

THE WORD “demure” is old—it describes the sort of modest lady Victorians esteemed—but it is freshly fashionable. There are some 800,000 posts on TikTok with the tag #demure. Youngsters today are using the word with lashings of irony, invoking it to describe everything from Saturn to sunset to New York City’s bin service.

TikTok is changing how young people talk. Other fusty words, such as “coquette”, are fashionable again. Colloquialisms are on the rise: members of Gen Z say “yapping” instead of “talking” and trim “delusional” to “delulu”. New words have also become popular. Take “skibidi”, a term popularised by a meme of an animated head singing in a toilet; it means “cool”, “bad” or “very”, depending on the context.

On social media words spread far and fast. At least 100 English words are produced, or given new meaning, on TikTok a year, reckons Tony Thorne, director of the Slang and New Language Archive at King’s College London. Some linguists think the platform is changing not just what youngsters are saying, but how they are saying it. A “TikTok accent”, which includes “uptalk”, an intonation that rises at the end of sentences, may be spreading.

The platform’s versatility encourages experimentation. Users can combine audio, text and video in a single post. That means words that sound especially satisfying can go viral, as well as those that are memorable in written form. Linguistic code has emerged, dubbed “algospeak”, to dodge content-moderation algorithms. It includes euphemisms (sex workers are called “accountants”), and misspellings (“seggs” instead of sex).

The mutation of language on TikTok is also due, in large part, to the age of its users. Most are 18-34 years old. That matters because “Young people are language innovators,” says Christian Ilbury, a linguist at the University of Edinburgh. For decades youngsters have created words to distinguish themselves from adults. On social media such neologisms find a big audience. Mr Ilbury describes this as “linguistic identity work”; parents have long called it attention-seeking.

The platform brings together fan groups and communities, from #kpopfans (people who like Korean pop music) to #booktokers (people who love reading). These groups create their own slang, says Adam Aleksic, a linguist and influencer. Some of it leaks into the mainstream. Other slang comes from specific groups: black people have innovated and spread hundreds of English words over the years, from “cool” to “tea” (gossip). Journalists and screenwriters popularise such words; now TikTokers do, too.

*For help in understanding the language and online mannerisms of TikTok and GenZ, I’m grateful to my daughter, Daisy Thorne Mrak*