Version 1.0

Co-occurrences of trending keywords in popular tech media (01.2016-04.2019)

Gyódi, Kristóf;Nawaro, Łukasz;Paliński, Michał

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 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)

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

79%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Information Systems

Field

Computer Science

Domain

Physical Sciences

Confidence Score

89%

Source

Open Alex

Keywords

Human-centric, future, technology, data-driven, policy, collective intelligence, news

Normalization Factors

FT

51.92

CTw

1.00

MTw

1.00