NELA-PS

NELA-PS数据集由田纳西大学诺克斯维尔分校信息科学学院创建，旨在研究地方新闻生态系统中的粉红泥新闻现象。该数据集包含超过790万篇文章，覆盖2.5年时间，数据来源于1093个粉红泥新闻源。创建过程中，研究团队通过收集各新闻源的RSS feed来获取文章，确保了数据的全面性和时效性。数据集主要用于分析粉红泥新闻的生产策略及其在地方信息空间中的作用，有助于理解自动化新闻内容对公众信息消费的影响。The NELA-PS dataset was developed by the College of Information Science at the University of Tennessee, Knoxville, to investigate the phenomenon of pink-slime journalism in local news ecosystems. This dataset contains over 7.9 million articles spanning 2.5 years, sourced from 1,093 pink-slime journalism outlets. During the dataset construction process, the research team collected articles via the RSS feeds of each news source, ensuring the comprehensiveness and timeliness of the data. The dataset is primarily utilized to analyze the production strategies of pink-slime journalism and its role in local information spaces, facilitating understanding of the impact of automated news content on public information consumption.