From Nuisance to News Sense: 利用跨文档证据与上下文增强新闻内容
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context
AI总结：
针对当前新闻难理解、信息杂、错误多的问题，研究提出新型新闻阅读工具NEWSSENSE，通过无参考事实核查关联多来源文章并标注主张的支持/矛盾情况，试点研究显示其能帮助用户核查信息、探索多元视角。
摘要：
阅读和理解新闻报道中的事件正变得越来越困难。事件的报道进展迅速，政治化的新闻平台提供不同的视角（有时甚至是不同的事实），且错误信息泛滥。然而，现有解决方案仅仅是汇集了来自不同来源的海量信息，例如不同新闻媒体、社交媒体以及新闻偏见评级机构的内容。我们提出了NEWSSENSE，这是一款新型的意义建构工具与阅读界面，旨在通过一种无参考事实核查形式，收集并整合围绕同一核心主题的多篇新闻文章中的信息。NEWSSENSE会对用户选择的核心基准文章进行内容增强，将其与来自不同来源的相关文章关联，并在文内高亮标注所选文章中的特定主张是得到了其他文章信息的支持还是与之矛盾。使用NEWSSENSE，用户可以顺畅地消化并交叉核对多个信息来源，而不会打断他们自然的阅读节奏。我们的试点研究表明，NEWSSENSE有望帮助用户识别关键信息、核查新闻文章的可信度并探索不同视角。
英文摘要：
Reading and understanding the stories in the news is increasingly difficult. Reporting on stories evolves rapidly, politicized news venues offer different perspectives (and sometimes different facts), and misinformation is rampant. However, existing solutions merely aggregate an overwhelming amount of information from heterogenous sources, such as different news outlets, social media, and news bias rating agencies. We present NEWSSENSE, a novel sensemaking tool and reading interface designed to collect and integrate information from multiple news articles on a central topic, using a form of reference-free fact verification. NEWSSENSE augments a central, grounding article of the user's choice by linking it to related articles from different sources, providing inline highlights on how specific claims in the chosen article are either supported or contradicted by information from other articles. Using NEWSSENSE, users can seamlessly digest and cross-check multiple information sources without disturbing their natural reading flow. Our pilot study shows that NEWSSENSE has the potential to help users identify key information, verify the credibility of news articles, and explore different perspectives.
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。
