As the problem of automated misinformation grows, the resources available to tackle it are under pressure.
, or election campaigns. That task has become even harder with the advent of chatbots using large language models, such as OpenAI’s ChatGPT, which can produce natural-sounding text at the click of a button, essentially automating the production of misinformation.
“The race between fact-checkers and those they are checking on is an unequal one,” says Tim Gordon, cofounder of Best Practice AI, an artificial intelligence strategy and governance advisory firm, and a trustee of a UK fact-checking charity. Newtral began developing its multilingual AI language model, ClaimHunter, in 2020, funded by the profits from its TV wing, which produces a, ClaimHunter’s developers used 10,000 statements to train the system to recognize sentences that appear to include declarations of fact, such as data, numbers, or comparisons. “We were teaching the machine to play the role of a fact-checker,” says Newtral’s chief technology officer, Rubén Míguez.
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