The COVID-19 pandemic has fueled the spread of misinformation on social ...
In this paper, we present a dataset of over 1.4M online news articles fr...
In this paper, we present the fourth installment of the NELA-GT datasets...
In this paper, we present an updated version of the NELA-GT-2019 dataset...
The use of language is subject to variation over time as well as across
...
Stopping the malicious spread and production of false and misleading new...
This paper describes SChME (Semantic Change Detection with Model Ensembl...
A major concern with text-based news veracity detection methods is that ...
In this paper, we present an updated version of the NELA-GT-2018 dataset...
Research in combating misinformation reports many negative results: fact...
In this paper, we present a dataset of 713k articles collected between
0...
In this paper, we analyze content sharing between news sources in the
al...
With the spread of false and misleading information in current news, man...
In this work, we ask two questions: 1. Can we predict the type of commun...
The propagation of unreliable information is on the rise in many places
...
In today's news ecosystem, news sources emerge frequently and can vary w...
The complexity and diversity of today's media landscape provides many
ch...
The problem of fake news has gained a lot of attention as it is claimed ...