Towards Mathematical Detection of Fake News using Graph Theory

A multidisciplinary, international team in data science, computer science and comparative literature has been working for four years on an open science, reproducible science and FAIR data project: the Covid-19 Museum, now Now.Museum, which aims at providing access to digital artefacts of the present in the future.
The Now.Museum has built up a back-up, organized using Dataverse, of the public sections of European newspapers in their original languages since 2020, into a dynamic, viewable chronological corpus with origin, title, date, etc. which it is possible to query in natural language.
From this unique database, we aim at testing the hypothesis: rhetoric or fake news could be detectable using graph theory and statistical testing. Our hypothesis is that a change in shape in the dynamic geometric representation, and the associated change in measurements in the graph, matrix and eigenvalues are detectable, categorizable and interpretable.