An external study of Twitter in 2022 estimated that between a third and two thirds of accounts on the social media site were bots. And many of these automatons flooding social media are dispatched to sow political polarization, hate, misinformation, propaganda and scams. The ability to sift them out of the online crowds is vital for a safer, more humane (or at least more human) internet.
Large language models can help detect social media bots—but can also make the problem worse
Tech News
-
Free Dark Web Monitoring Stamps the $17 Million Credentials Markets
-
Smart buildings: What happens to our free will when tech makes choices for us?
-
Screenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
-
Darknet markets generate millions in revenue selling stolen personal data, supply chain study finds
-
Privacy violations undermine the trustworthiness of the Tim Hortons brand
-
Why Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars