Published July 13, 2020
| Version v1
Dataset
Open
Co-occurrences of trending keywords in popular tech media (01.2016-12.2019)
Description
Sources with weights
- Euractiv 5%
- The Conversation 5%
- Politico Europe 5 %
- IEEE Spectrum 5 %
- Techforge 5%
- Fastcompany 5%
- The Guardian (Tech) 12%
- Arstechnica 5%
- Reuters 5%
- Gizmodo 9%
- ZDNet 9%
- The Register 12%
- The Verge 9%
- TechCrunch 9%
Methodology
- Exploring the relationship between topics
- Pairs of terms which are mentioned together in media articles
- Most trending social issues and technologies have been selected (e.g. 'gdpr', '5G')
- 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
cooccount_weighted_newall.csv
Files
(65.0 MB)
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md5:01729ff5dfb343cfa97790dc3786657b
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