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and Fake News Characterization Against the changes the world is currently facing, an increasing number of daily tasks are moving online, including reading the news and being informed about relevant topics. The increase in the volume of information made available led, in turn, to fake news dissemination becoming a trending topic on the Internet. Recent events such as the COVID-19 pandemic have shown that fake news exerts a significant negative influence on societies by highlighting stories that do not necessarily report on facts.1 Moreover, fake news serves to misinform people and manipulate their opinions for several reasons.2 Research communities expressed concern about this flood of misinformation and introduced automated fake news identification solutions based on Natural Language Processing (NLP) techniques. In this study, we reference existing datasets and related work in the analysis of English fake news, discuss potential detection techniques for Romanian fake news, as well as establish future work plans for this research initiative.

A Literature Review of NLP Approaches to Fake News Detection and Their Applicability to Romanian-Language News Analysis