Intention embedding method based social bot detection
Artificial intelligence generated content technology has significantly enhanced the disguise capabilities of so-cial bots,presenting new challenges to existing bot detection methods.By modeling the intentions of social media users through intention representation,a intention embedding method based social bot detection was proposed,thereby avoid-ing the difficulty of directly detecting bots with enhanced behavioral camouflage at the action level on social platforms.Experimental results show that the detection model using intention embedding improves the accuracy of social bot detec-tion by 5.58 percentage points compared to models not utilizing intention embedding,and it enhances the recognition ca-pability of specific types of social bots,verifying the effectiveness of intention embedding in improving the performance of human-bot detection tasks.
social bot detectionintention representationintention embeddingartificial intelligence generated content
万方数据
维普
