AI RESEARCH
Collaborative Evaluation of Deepfake Text with Deliberation-Enhancing Dialogue Systems
arXiv CS.AI
•
ArXi:2503.04945v3 Announce Type: replace-cross The proliferation of generative models has presented significant challenges in distinguishing authentic human-authored content from deepfake content. Collaborative human efforts, augmented by AI tools, present a promising solution. In this study, we explore the potential of DeepFakeDeLiBot, a deliberation-enhancing chatbot, to groups in detecting deepfake text. Our findings reveal that group-based problem-solving significantly improves the accuracy of identifying machine-generated paragraphs compared to individual efforts.