Corpus-based discourse analysis of the lexemes related to COVID-19 pandemic in the German magazine Der Spiegel (online version)

The article gives a detailed insight into pandemic media discourse by revealing and analyzing its lexical changes. research aims to observe the dynamic processes in vocabulary: intensity usage frequency of key words, neologisms, borrowings, reflection important social political events vocabulary. is based on DIMEAN multilevel linguistic analysis model, elements corpus analysis, concordance compilation with AntConc program Voyant Tools web application, as well methods dictionary definitions contextual semantic analysis. material study current theme-based publications from German news website Der Spiegel dated 2020 2022. Structuring two sub-corps (according year, 50 articles each) enables demonstrate specific time period present our observations changes COVID-19 discourse. applies both traditional modern computer that relevant approach. new comparative means allows track dynamics evaluation topics socio-political As result conducted were revealed most frequent lexemes taking account macro- micro-contexts; group keywords for periods contextual-semantic was provided.