Islander: A Real-Time News Monitoring and Analysis System
- URL: http://arxiv.org/abs/2204.11457v1
- Date: Mon, 25 Apr 2022 06:20:49 GMT
- Title: Islander: A Real-Time News Monitoring and Analysis System
- Authors: Chao-Wei Huang, Kai-Chou Yang, Zi-Yuan Chen, Hao-Chien Cheng, Po-Yu
Wu, Yu-Yang Huang, Chung-Kai Hsieh, Geng-Zhi Wildsky Fann, Ting-Yin Cheng,
Ethan Tu, Yun-Nung Chen
- Abstract summary: We present Islander, an online news analyzing system.
The system allows users to browse trending topics with articles from multiple sources and perspectives.
We define several metrics as proxies for news quality, and develop algorithms for automatic estimation.
- Score: 22.67888928983199
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: With thousands of news articles from hundreds of sources distributed and
shared every day, news consumption and information acquisition have been
increasingly difficult for readers. Additionally, the content of news articles
is becoming catchy or even inciting to attract readership, harming the accuracy
of news reporting. We present Islander, an online news analyzing system. The
system allows users to browse trending topics with articles from multiple
sources and perspectives. We define several metrics as proxies for news
quality, and develop algorithms for automatic estimation. The quality
estimation results are delivered through a web interface to newsreaders for
easy access to news and information. The website is publicly available at
https://islander.cc/
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