Rumour Evaluation with Very Large Language Models

arXiv:2404.16859v1 Announce Type: new
Abstract: Conversational prompt-engineering-based large language models (LLMs) have enabled targeted control over the output creation, enhancing versatility, adaptability and adhoc retrieval. From another perspective, digital misinformation has reached alarming levels. The anonymity, availability and reach of social media offer fertile ground for rumours to propagate. This work proposes to leverage the advancement of prompting-dependent LLMs to combat misinformation by extending the research efforts of the RumourEval task on its Twitter dataset. To the end, we employ …

abstract adaptability anonymity arxiv availability control conversational cs.cl cs.si digital engineering evaluation language language models large language large language models llms media misinformation perspective prompt prompt-engineering retrieval social social media type work