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Published February 27, 2019 | Version v1

Co-occurrences of trending keywords in popular tech media

  • 1. University of Warsaw

Description

Co-occurrences of trending keywords in the tech media

Sources

  • Gigaom 0.5%
  • The conversation 1%
  • IEEE Spectrum 1.6%
  • Techforge 3.8%
  • Fastcompany 4.2%
  • The Guardian (Tech) 8.3%
  • Arstechnica 8.8%
  • Reuters 9.4%
  • Venturebeat 14.4%
  • ZDNet 15%
  • Gizmodo 15.4%
  • The Register 17.5%

Methodology

  • Exploring the relationship between topics
  • Pairs of terms which are mentioned together in media articles
  • Most trending social issues have been selected (e.g. 'metoo', 'gdpr')
  • The co-occurrence analysis is calculated for pairs consisting of emerging social issues and trending uni/bigrams
  • The number of times the terms appear in articles together with a social issue is divided by the number of times the social issue is mentioned across all articles
  • A single index is constructed for all word pairs by weighted average (taking into account the prevalence of the given source)

Files

unigram-unigram co-occurrences: cooc11weighted.csv

unigram-bigram co-occurrences: cooc12weighted.csv

bigram-unigram co-occurrences: cooc21weighted.csv

bigram-bigram co-occurrences: cooc22weighted.csv
 

 

Files

cooc21weighted.csv

Files (19.9 MB)

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Additional details

Funding

European Commission
EU Engineroom - (EU) Explorations in Next Generation Internet emerging research opportunities, technOlogies and methods. 780643