Tracking Misinformation Operations in the Era of AI – Challenges, Tools, and Case Studies
Misinformation has become a major challenge of global governance. Misinformation polarizes public opinion, infiltrates the electoral process, and undermines our democracy.
The recent development of artificial intelligence offers us opportunities and challenges. We can leverage Large language models (LLMs) like ChatGPT to identify false narratives and analyze suspicious actors faster than before. At the same time, AI-generated misinformation (such as deep fake) is becoming ubiquitous on the Internet.
In this talk, Zhouhan Chen shows what modern misinformation operations look like, and how to detect them. He will demo the analysis platform Information Tracer. This tool integrates cross-platform data mining, AI-based text analysis, and data visualization technologies. We share several real-world investigations — from discovering trolling campaigns against Amber Heard, to monitoring global elections. Finally, we want audiences to think: what choice should one make when the amount of information one receives exceeds his/her capacity to handle?
DETAILS
October 30, 2024
1.45 – 2.30 PM