Islander: A Real-Time News Monitoring and Analysis System
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Abstract (arXiv)
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/
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 24 references that are in the map. First posted on arXiv 25 Apr 2022.
Builds on
8 of 24 references.
References · 8
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
- 2016node2vec: Scalable Feature Learning for Networkscited by 1,918
- 2019Defending Against Neural Fake Newscited by 559
- 2016Adversarial Training Methods for Semi-Supervised Text Classificationcited by 280
- 2016Stop Clickbait: Detecting and Preventing Clickbaits in Online News Mediacited by 39
- 2020Prta: A System to Support the Analysis of Propaganda Techniques in the Newscited by 24
- 2017How algorithmic popularity bias hinders or promotes qualitycited by 20
- 2020NSTM: Real-Time Query-Driven News Overview Composition at Bloombergcited by 5
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