Classifying Human-Generated and AI-Generated Election Claims in Social Media

arXiv:2404.16116v1 Announce Type: new
Abstract: Politics is one of the most prevalent topics discussed on social media platforms, particularly during major election cycles, where users engage in conversations about candidates and electoral processes. Malicious actors may use this opportunity to disseminate misinformation to undermine trust in the electoral process. The emergence of Large Language Models (LLMs) exacerbates this issue by enabling malicious actors to generate misinformation at an unprecedented scale. Artificial intelligence (AI)-generated content is often indistinguishable from authentic user …

abstract actors arxiv conversations cs.ai cs.cl election emergence generated human major media misinformation platforms politics process processes social social media social media platforms topics trust type undermine