通过智能代理博客减轻媒体偏见
Alleviating Media Bias Through Intelligent Agent Blogging
摘要：
大众媒体的消费者必须有一个全面的，平衡的和多元化的新闻选择，以获得一个公正的观点;但实现这一目标可能是非常具有挑战性的，费力和耗时。随着时间的推移，新闻故事的发展，其（不）一致性，以及媒体的不同报道水平是一个认真的读者必须克服的挑战，以减轻偏见。在本文中，我们提出了一个智能代理框架，目前促进在线新闻在萨尔瓦多的主要来源的分析。我们展示了如何将文本分析和Web 2.0技术的先前工具与最小的手动干预相结合，以帮助个人进行理性的决策过程，同时让媒体对他们的工作负责。
英文摘要：
Consumers of mass media must have a comprehensive, balanced and plural selection of news to get an unbiased perspective; but achieving this goal can be very challenging, laborious and time consuming. News stories development over time, its (in)consistency, and different level of coverage across the media outlets are challenges that a conscientious reader has to overcome in order to alleviate bias. In this paper we present an intelligent agent framework currently facilitating analysis of the main sources of on-line news in El Salvador. We show how prior tools of text analysis and Web 2.0 technologies can be combined with minimal manual intervention to help individuals on their rational decision process, while holding media outlets accountable for their work.
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。
