The paper “Comparing the willingness to share for human-generated vs. AI-generated fake news” by Amirsiavosh Bashardoust, Stefan Feuerriegel, Yash Raj Shrestha has be accepted at CSCW2024.
This paper explores the critical issue of AI-generated fake news and its societal impacts and here’s a snapshot of the findings:
🔍 Generative AI: Double-Edged Sword: While it simplifies tasks like information search and coding, it also creates highly realistic fake news that’s hard to detect.
📊 Key Insights: Scale, Speed, Usability: AI can mass-produce fake news quickly and easily, outpacing traditional fact-checking.
👥 User Behavior: AI-generated fake news is perceived as less accurate but is shared just as much as human-generated fake news.
💡 Implications: Our findings highlight the urgent need for strategies to combat the spread of AI-generated fake news by understanding user behavior and socio-economic factors.
🔗 Preprint: https://lnkd.in/gS6NABWc
