Adapting Fake News Detection to the Era of Large Language Models

arXiv:2311.04917v2 Announce Type: replace
Abstract: In the age of large language models (LLMs) and the widespread adoption of AI-driven content creation, the landscape of information dissemination has witnessed a paradigm shift. With the proliferation of both human-written and machine-generated real and fake news, robustly and effectively discerning the veracity of news articles has become an intricate challenge. While substantial research has been dedicated to fake news detection, this either assumes that all news articles are human-written or abruptly assumes that …

abstract adoption age arxiv cs.ai cs.cl detection fake fake news generated human information landscape language language models large language large language models llms machine paradigm shift type