FakeNewsDetectionFramework
This repository is a research prototype for early detecting fake news shared in social media when evidence or metadata is not present.
MIT License
Stars
4
Ecosystems:
Python
ECOL - Fake News Detection Framework for the Healthcare Domain
More details are given in our paper.
scripts folder has examples for reproducing the study:
-
scripts/elasticsearch_ops.shis used for extracting relevant past fake news -
scripts/links_ops.shis used for extracting link information on the posts -
scripts/train_server.shis used for training the components of the ECOL
Trained models and processed data can be downloaded from this link.
Datasets
The list of additional datasets for training/testing some of the components of the framework: FakeHealth NELA-2019
Citation
Please use the following citation if you use our code:
@chapter{baris2021ecol,
title={ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information},
author={Ipek Baris and Zeyd Boukhers},
year={2021},
book={Combating Online Hostile Posts in Regional Languages during Emergency Situation },
publisher={Springer International Publishing},
}
Preprint version of the paper is publicly available.