SciLens - Technical

SciLens

Helper for science news evaluation

Karl Aberer — Distributed Information Systems Laboratory

SciLens

A framework helping non-experts to evaluate the quality of scientific news articles, based on indicators automatically generated using machine learning.

SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators — Published at: WWW'19
SciLens News Platform: A System for Real-Time Evaluation of News Articles — Published at: VLDB'20
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking — Published at: CIKM '21 — Slides: SciClops
SciLander: Mapping the Scientific News Landscape — Published at: ICWSM '23

inactive — entered showcase: 2019-03-18 — entry updated: 2024-02-06

Lab GitHub - last commit: 2022-10-25

This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.

Application

Python

GPL-3.0