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形成了他们对周围世界的理解。为了研究新闻报道与新闻对人类行为的影响之间的关系，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，可以让科学家、教育工作者、学生和公众搜索来自世界各地的超过15亿个在线新闻故事。它每天增加大约50万个新故事，以保持时效性和相关性。NewsScribe可以很容易地找到信息，而无需创建或寻找大量的文本。它根据地点和主题将新闻来源组织在不同的集合中。该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，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，在更大的范围内，研究过去几年或最近几天来自世界各地的新闻报道模式。要创建和维护如此庞大的数据库，同时确保它对如此多的不同用户仍然有用，这涉及到许多挑战。该项目开发的软件可以快速收集和存储在线新闻文章，通过处理它们来提取诸如发布日期、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，处理更多的故事，并且更快地返回搜索结果。当日常新闻处理出现问题时，不同级别的警报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，因为它混合了信息表格、图表和可下载的报告。对现有用户和新用户进行测试可以指导继续开发更友好的方法，稳定NewsScribe产品并确保其长期有用性。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们的网络。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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.