Digital life
fromPsychology Today
2 days agoThis May Be Low-Key the Hardest Time to Decode Slang
Slang evolves rapidly, reflecting youth identity and social connection, and serves as a cultural password for belonging among generations.
Computational linguistics is a two-way street: You're either using a computer to do things with human language or communicate or translate or teach a foreign language, or you're using computational techniques to learn something about human languages. Her work documenting and preserving endangered languages uses a little bit of both.
Swedish King Charles XII was down on his luck, defeated by the Russians and camping out in a place called Bender in Moldova, then part of the Ottoman Empire. The Turkish sultan was getting tired of the Swedes hanging around on his territory, so Turkish forces crowded into Bender. Mayhem ensued. Charles was forced out. What a kalabalik!
The Merriam-Webster editor Peter Sokolowski introduced the crowd of assembled nerds to the idea that a dictionary is not a static document but a living object, constantly updated and remade in response to how people write and speak. In a talk titled "The Dictionary as Data," Sokolowski emphasized that the editors at Merriam-Webster look to how the general public uses language to guide their work.
The term "conspiracy theory" calls to mind a variety of dubious claims and controversies, like rumors about Area 51, claims that the Earth is flat, and the movement known as QAnon. At first blush, these phenomena would seem to have little in common with bogus word origins. But there are a variety of false etymologies that spread virally and refuse to go away, in much the same way that stories about chemtrails, black helicopters, and UFOs refuse to die.
For the first time, speech has been decoupled from consequence. We now live alongside AI systems that converse knowledgeably and persuasively-deploying claims about the world, explanations, advice, encouragement, apologies, and promises-while bearing no vulnerability for what they say. Millions of people already rely on chatbots powered by large language models, and have integrated these synthetic interlocutors into their personal and professional lives. An LLM's words shape our beliefs, decisions, and actions, yet no speaker stands behind them.
1. Tongue in cheek 2. Old wives' tales 3. Statute of limitations 4. To be specific 5. Nipped in the bud 6. Get down to brass tacks 7. Deep-seated hatred 8. All intents and purposes 9. Wheelbarrow 10. Champing at the bit 11. Jury-rigged 12. Ulterior motive 13. Bald-faced lie 14. Dog eat dog world 15. Chump change 16. Dime a dozen 17. Duct tape 18. Can't see the forest for the trees 19. Quote unquote 20. Could have 21. Chalk it up 22. Iced tea 23. Take for granted 24. Blessing in disguise 25. Bated breath