Keyword frequencies in popular tech media during the COVID-19 pandemic (01.2020-06.2020)

Sources: Euractiv The Conversation Politico Europe IEEE Spectrum Techforge Fastcompany The Guardian (Tech) Arstechnica Reuters Gizmodo ZDNet The Register The Verge TechCrunch Methodology is modified relative to the regular trend analysis due to the short period of analysis (weekly freqiencies) Frequency of appearances for all unigrams and bigrams in the texts Frequency: number of appearances of every term divided by the number of all terms (for every week) Several media sources: all articles are treated equally Average monthly change in the analised term's frequency is calculated by OLS regressions The dependent variable of the estimation is the frequency index, while the number of weeks since the beginning of the analysed period (January 2020) is the independent variable The regression coefficient (referred to as coef) shows by how much on average the analysed expression’s frequency changed with every observed week (marginal change of the frequency), revealing which keywords had the biggest weekly growth Columns freq_2020_weeks (e.g. freq_2020_ww0): the average frequency of the term coef: the regression coefficient coef_norm: the regression coefficient divided by the mean frequency of the keyword