自动化新闻
Automated Journalism
AI总结：
本文探讨了自动化新闻在数据驱动背景下的发展、早期应用及其对新闻生产与分发的潜在影响，同时警示算法偏见等风险。
摘要：
自动化新闻是为了回应数据驱动新闻日益普及而发展起来的，指的是在计算机程序的协助下，自动化地收集、生产和分发新闻内容及其他数据的过程。尽管与自动化新闻相关的算法技术仍处于发展的初期阶段，早期采用者已经称赞自动化新闻在基于干净、结构化数据生成常规新闻方面的实用性。最引人注目的是，美联社和《纽约时报》十多年来一直在自动化新闻内容，以报道财经和体育议题。然而，关于自动化新闻的研究也警示着使用算法进行新闻创作和分发所带来的危险，包括人工智能系统背后可能存在的偏见，或开发计算机程序的人员所持有的人类偏见。自动化新闻内容的普及还对新闻编辑室的基础设施、记者及其他非新闻专业人员的角色表现，以及向数据化受众分发新闻内容的方式产生了重要影响。
英文摘要：
Developed as a response to the increasing popularity of data-driven journalism, automated journalism refers to the process of automating the collection, production, and distribution of news content and other data with the assistance of computer programs. Although the algorithmic technologies associated with automated journalism remain in the initial stage of development, early adopters have already praised the usefulness of automated journalism for generating routine news based on clean, structured data. Most noticeably, the Associated Press and The New York Times have been automating news content to cover financial and sports issues for over a decade. Nevertheless, research on automated journalism is also alerting to the dangers of using algorithms for news creation and distribution, including the possible bias behind AI systems or the human bias of those who develop computer programs. The popularization of automated news content also has important implications for the infrastructure of the newsroom, the role performance of journalists and other non-journalistic professionals, and the distribution of news content to a datafied audience.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
