Layers upon layers of references are stacked together in a single post, while the posts themselves fly by faster than ever in our feeds. To someone who isn’t “chronically online” a few dislocated images or words may trigger a flash of recognition – a member of the royal family, a beloved cartoon character – but their relationship with each other is impossible to unpick. Add the absurdist language of online culture and the impenetrable algorithms that decide what we see in our feeds, and it seems like all hope is lost when it comes to making sense of the internet.
Forget words! Don’t think! In today’s digitally-mediated landscape, there’s no need for knowledge or understanding, just information. Scroll the feed and you’ll find countless video clips and posts advocating this smooth-brained agenda: lobotomy chic, sludge content, silly girl summer.
“With memes, images are converging more on the linguistic, becoming flattened into something more like symbols/hieroglyphs/words,” says writer Olivia Kan-Sperling, who specialises in programming language critique. For the meme-fluent, the form isn’t important, but rather the message it carries. “A meme is lower-resolution in terms of its aesthetic affordances than a normal pic because you barely have to look at it to know what it’s ‘doing’,” she expands. “For the literate, its full meaning unfolds at a glance.” To understand this way of “speaking writing posting” means we must embrace the malleability of language, the ambiguities and interpretations – and free it from ‘real-world’ rules.
Hey guys, I just got an order in from Sephora – here’s everything that I got. Get ready with me for a boat day in Miami. Come and spend the day with me – starting off with coffee. TikTok influencers engage in a high-pitched and breathless way of speaking that over-emphasises keywords in a youthful, singsong cadence. For the Attention Economy, it’s the sort of algorithm-friendly repetition that’s quantified by clicks and likes, monetised by engagement for short attention spans. “Now, we have to speak machine with machines that were trained on humans,” says Basar, who refers to this algorithm-led style as promptcore.
As algorithms digest our online behaviour into data, we resemble a swarm, a hivemind. We are beginning to think and speak like machines, in UI-friendly keywords and emoji-pilled phrases.
