Islander: A Real-Time News Monitoring and Analysis System

Abstract

With thousands of news articles from hundreds of sources distributing and sharing everyday, news consumption and information acquisition have been increasingly difficult for readers. Additionally, the content of news articles are becoming catchy or even inciting to attract readership, harming the accuracy of news reporting. We present Islander, an online news analyzing system for online news. The system allows users to browse trending topics with articles from multiple sources and perspectives. We define several metrics as proxies to news quality, and develop algorithms for automatic estimation. The quality estimation results are delivered through a web interface to news readers for easy access to news and information 1