Collaborative Research: HNDS-I: NewsScribe - Extending and Enhancing the Media Cloud Searchable Global Online News Archive

人们在网上阅读的新闻体现了他们对周围世界的理解。为了研究所报道的新闻与其如何影响人类行为之间的关系，研究人员需要一种简单的方法来搜索大量的新闻文章。NewsScribe是一个工具，让科学家、教育工作者、学生和公众可以从世界各地超过15亿条在线新闻故事中进行搜索。它每天都会增加大约50万个新故事，以保持时效性和相关性。NewsScribe使查找信息变得容易，而不需要创建或查找大量文本。它按位置和主题将新闻来源组织在不同的集合中。这个组织帮助研究人员快速找到与他们正在研究的问题相关的故事。该奖项支持的活动包括更新NewsScribe核心的软件和数据，并增加新的用户友好功能和可视化，使该工具更易于使用。NewsScribe使不同类型的研究人员能够以新的方式、在更广泛的范围内研究过去几年或过去几天来自世界各地的新闻报道模式。创建和维护如此庞大的数据库，同时确保它仍然对如此多不同的用户有用，存在许多挑战。这个项目开发了一种软件，可以快速收集和存储在线新闻文章，方法是对它们进行处理，以提取发布日期、语言和文章内容等信息。这一过程的新方法允许提取更准确的数据，处理更多故事，并更快地返回搜索结果。当日常新闻处理出现问题时，各级预警系统会通知软件团队，确保系统稳定可靠。显示这些结果的基于网络的搜索工具有时很难使用，其中混合了信息表、图表和图表，以及可下载的报告。对现有用户和新用户的测试指导着继续开发更加用户友好的方法，稳定NewsScribe产品并确保其长期用途。该奖项不仅支持改进软件的开发，还支持建立一个由密切合作伙伴组成的顾问委员会，帮助指导NewsScribe如何最好地支持依赖它的人的网络。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The news that people read online forms how they understand the world around them. To study the relationships between what news is reported and how that affects human behavior, researchers need an easy way to search through lots of news articles. NewsScribe is a tool that lets scientists, educators, students, and the public search through over 1.5 billion online news stories from around the world. It adds about 500,000 new stories every day to stay timely and relevant. NewsScribe makes it easy to find information without needing to create or seek out large volumes of text. It organizes news sources in different collections by location and topic. This organization helps researchers quickly find the stories that are relevant to the questions they are studying. The activities supported by this award include updating the software and data at the core of NewsScribe and adding new user-friendly features and visualizations to make the tool easier to use. NewsScribe makes it possible for different types of researchers to study patterns in news reporting from around the world in new ways, at broader scales, over the last few years or the last few days.There are many challenges involved in creating and maintaining such a large database while ensuring it will still be useful for so many different users. This project develops software that quickly collects and stores online news articles by processing them to pull out information like the publication date, language, and just the content of the article. New approaches to that process allow for pulling out more accurate data, handling more stories, and also returning search results faster. Various levels of alert systems notify the software team when some problem occurs with the daily processing of news stories, ensuring that the system is stable and reliable. The web-based search tools showing these results can sometimes hard to use, with a mix of tables of information, charts and graphs, and downloadable reports. Testing with current and new users guides continuing development of more user-friendly approaches, stabilizing the NewsScribe product and ensuring its long-term usefulness. The award supports not only the development of improved software but also establishing an advisory board of close partners who help guide how NewsScribe can best support the network of people who rely on it.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.