It is our goal to uncover the common linguistic characteristics of fake news and pseudoscientific articles as they differ from real news beyond mere word choice. We also wish to determine the different types of linguistic strategies behind the aforementioned characteristics, specifically, impression management, politeness, and manipulative strategies. Throughout our analysis, we focus not only on characteristics that possess an explicit form but also on hidden phenomena such as implicit arguments, unstated speech acts, and implicature. Our research uses both qualitative and quantitative methodology. the former for case studies, analyzing specific fake news or pseudoscientific articles. The latter in the case of corpus analysis during which we annotate each article, aided by automatic pre-analysis, then we analyze the statistical results.
Subproject leader
Prof. Dr. Németh T. Enikő DSc
Corresponding Member of the Hungarian Academy of Sciences
Department of General Linguistics, University of Szeged
Participants
Dr. Árvay Anett PhD
Hungarian Studies Department, University of Szeged
Bozsik Tamara
Doctoral School in Linguistics, University of Szeged
Dr. Nagy C. Katalin PhD
Department of General Linguistics, University of Szeged
Dr. Németh Zsuzsanna PhD
Department of General Linguistics, University of Szeged
Dr. Szabó Éva PhD
Department of General Linguistics, University of Szeged
Dr. Szécsényi Tibor PhD
Department of General Linguistics, University of Szeged
Dr. Varga Marianna PhD
Department of General Linguistics, University of Szeged
Virág Nándor
Doctoral School in Linguistics, University of Szeged
Members of the Student Research Group on Pragmatics
