SciLens News Platform: A System for Real-Time Evaluation of News Articles
Summary: Real-time signals and automated quality indicators for news articles, merging social discourse with content. Expert reviews augment signals on a scalable platform, enabling consensus-driven quality assessment and exposing gaps in newsroom activity. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Angelika Romanou (EPFL)
- 2. Panayiotis Smeros (EPFL)
- 3. Carlos Castillo (Universitat Pompeu Fabra)
- 4. Karl Aberer (EPFL)
BibTeX Citation
@article{romanou_vldb20,
title = {{SciLens News Platform: A System for Real-Time Evaluation of News Articles}},
author = {Romanou, Angelika and Smeros, Panayiotis and Castillo, Carlos and Aberer, Karl},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2969--2972},
doi = {10.14778/3415478.3415521},
url = {https://doi.org/10.14778/3415478.3415521},
year = {2020}
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