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

<p>Sources:&nbsp;</p> <ul> <li>Euractiv</li> <li>The Conversation</li> <li>Politico Europe&nbsp;</li> <li>IEEE Spectrum&nbsp;</li> <li>Techforge&nbsp;</li> <li>Fastcompany&nbsp;</li> <li>The Guardian (Tech)&nbsp;</li> <li>Arstechnica&nbsp;</li> <li>Reuters&nbsp;</li> <li>Gizmodo&nbsp;</li> <li>ZDNet&nbsp;</li> <li>The Register&nbsp;</li> <li>The Verge&nbsp;</li> <li>TechCrunch&nbsp;</li> </ul> <p>Methodology is modified relative to the regular trend analysis due to the short period of analysis (weekly freqiencies)</p> <ul> <li>Frequency of appearances for all unigrams and bigrams in the texts</li> <li>Frequency: number of appearances of every term divided by the number of all terms&nbsp;(for every week)&nbsp;</li> <li>Several media sources: all articles are treated equally</li> <li>Average monthly change in the analised term&#39;s frequency is calculated by OLS regressions</li> <li>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</li> <li>The regression coefficient (referred to as coef) shows by how much on average the analysed expression&rsquo;s frequency changed with every observed week&nbsp;(marginal change of the frequency), revealing which keywords had the biggest weekly&nbsp;growth</li> </ul> <p>Columns</p> <p>freq_2020_weeks&nbsp;(e.g. freq_2020_ww0):&nbsp;the average frequency of the term</p> <p>coef:&nbsp;the regression coefficient</p> <p>coef_norm:&nbsp;the regression coefficient divided by the mean frequency of the keyword</p>