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Keywords trending in the tech media (01.2016-03.2019) Sources Gigaom 0.5% Euractiv 0.9% The Conversation 1.3% Politico Europe 1.3% IEEE Spectrum 1.8% Techforge 4.3% Fastcompany 4.5% The Guardian (Tech) 9.2% Arstechnica 10.0% Reuters 11% Gizmodo 17.5% ZDNet 18.3% The Register 19.5% Methodology Frequency of appearances for all unigrams and bigrams in the texts Frequency: number of appearances of every term divided by the number of published articles (for every month and source) This measure reveals how many times an expression has been mentioned on average per article Several media sources: a representative index is calculated with weighted average 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 months since the beginning of the analysed period (January 2016) 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 month (marginal change of the frequency), revealing which keywords had the biggest monthly growth Files unigrams: coefs_1weighted_site.csv bigrams: coefs_2weighted_site.csv
word frequency, web scraping, tech media
word frequency, web scraping, tech media
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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