Publications from our Researchers

Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.  


BibTex format

author = {Amador, J and Oehmichen, A and Molina-Solana, M},
title = {Characterizing Political Fake News in Twitter by its Meta-Data},
url = {},

RIS format (EndNote, RefMan)

AB - This article presents a preliminary approach towards characterizing politicalfake news on Twitter through the analysis of their meta-data. In particular, wefocus on more than 1.5M tweets collected on the day of the election of DonaldTrump as 45th president of the United States of America. We use the meta-dataembedded within those tweets in order to look for differences between tweetscontaining fake news and tweets not containing them. Specifically, we performour analysis only on tweets that went viral, by studying proxies for users'exposure to the tweets, by characterizing accounts spreading fake news, and bylooking at their polarization. We found significant differences on thedistribution of followers, the number of URLs on tweets, and the verificationof the users.
AU - Amador,J
AU - Oehmichen,A
AU - Molina-Solana,M
TI - Characterizing Political Fake News in Twitter by its Meta-Data
UR -
ER -