Centralized and Trusted System (QA) to Fight Misinformation
Hicham Moad Safhi
Myriad of data is generated every minute from everywhere, and in different formats offering the consumers a large availability of information . However, the reliability of this information differ highly across sources. Unreliable sources provide misleading and biased information, which might lead to dangerous consequences especially in the case of epidemics, like covid-19 in which falsehoods are a matter of life-and death. Users find it difficult to manually check all information, therefore, in this project we propose a question answering tool that can automatically answers the user using a pre-trained model based on reliable data sources.
Like this contribution to see it presented and awarded at the e-Rum2020 CovidR contest pre-conference event
<a href="https://milano-r.github.io/erum2020-covidr-contest/hichammoadsafhi-covid19-data-veracity.html"><img src="https://badgen.net/https/runkit.io/erum2020-covidr/badge/branches/master/hichammoadsafhi-covid19-data-veracity?cache=300" alt="eRum2020::CovidR"/></a>