arXiv:2410.13400cs.CYcs.CL2024-10被引 2

人机协作分析希腊政治演讲,揭示AI在新闻中的潜力与局限

Towards Hybrid Intelligence in Journalism: Findings and Lessons Learnt from a Collaborative Analysis of Greek Political Rhetoric by ChatGPT and Humans

  • 用大模型+人类专家共同分析竞选演讲
  • 发现AI能识别情绪、话题和民粹主义,但需人工校验
  • 适合新闻机构探索人机协同的数字人文项目

本章介绍名为「分析政治话语:人类与人工智能的合作」的研究项目,该研究为2023年希腊大选筹备。项目聚焦政治领袖竞选演讲的分析,结合人工智能与跨学科团队(记者、政治学家、数据科学家)。研究涵盖情感分析、极化、民粹主义、主题检测及命名实体识别(NER)。实验考察了大型语言模型(尤其是OpenAI的ChatGPT)在政治话语分析中的能力,评估其优劣,并强调在新闻及其他社会领域使用AI时,人类监督至关重要。该项目是数字人文领域人机协作(混合智能)的创新范例,为未来类似项目提供了宝贵经验。

原文摘要 · Abstract (English)

This chapter introduces a research project titled "Analyzing the Political Discourse: A Collaboration Between Humans and Artificial Intelligence", which was initiated in preparation for Greece's 2023 general elections. The project focused on the analysis of political leaders' campaign speeches, employing Artificial Intelligence (AI), in conjunction with an interdisciplinary team comprising journalists, a political scientist, and data scientists. The chapter delves into various aspects of political discourse analysis, including sentiment analysis, polarization, populism, topic detection, and Named Entities Recognition (NER). This experimental study investigates the capabilities of large language model (LLMs), and in particular OpenAI's ChatGPT, for analyzing political speech, evaluates its strengths and weaknesses, and highlights the essential role of human oversight in using AI in journalism projects and potentially other societal sectors. The project stands as an innovative example of human-AI collaboration (known also as "hybrid intelligence") within the realm of digital humanities, offering valuable insights for future initiatives.

人机协作政治分析大模型

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