Tools like ChatGPT has definitely been a double-edged sword. On one hand, they‘ve freed up a lot of our productivity, but on the other, they’ve made it way easier to fool people. Now, telling real from fake has become a real headache.

Based on the Lost Yangtze Sea project, we investigate public reactions to AI-created fabrications through a structured experiment. Our findings indicate a profound public challenge in discerning such content, highlighted by GAI’s capacity for realistic fabrications.

To counter this, we introduce an innovative approach employing large language models like ChatGPT for truthfulness assessment. We detail a specific workflow for scrutinizing the authenticity of everyday digital content, aimed at boosting public awareness and capability in identifying fake materials. We apply this workflow to an agent bot on Telegram to help users identify the authenticity of text content through conversations.

Our project encapsulates a two-pronged strategy: generating fake content to understand its dynamics and developing assessment techniques to mitigate its impact. As part of that effort we propose the creation of speculative fact-checking wearables in the shape of reading glasses and a clip-on. 

As a computational media art initiative, this project under-scores the delicate interplay between technological progress, ethical considerations, and societal consciousness.