April 1, 2024, 4:47 a.m. | Zehao Wen, Rabih Younes

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.20158v1 Announce Type: new
Abstract: In our rapidly evolving digital sphere, the ability to discern media bias becomes crucial as it can shape public sentiment and influence pivotal decisions. The advent of large language models (LLMs), such as ChatGPT, noted for their broad utility in various natural language processing (NLP) tasks, invites exploration of their efficacy in media bias detection. Can ChatGPT detect media bias? This study seeks to answer this question by leveraging the Media Bias Identification Benchmark (MBIB) …

abstract arxiv bias chatgpt cs.ai cs.cl decisions digital gpt gpt-3 gpt-3.5 influence language language models large language large language models llms media natural pivotal public sentiment sphere study type utility

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Robotics Technician - 3rd Shift

@ GXO Logistics | Perris, CA, US, 92571