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Sources with weights Arstechnica: 1/8, Euractiv: 1/8, Fastcompany: 1/8, The Register: 1/8, Techcrunch: 1/8, The Guardian: 1/8, Venturebeat: 1/8, The Verge: 1/8 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)
Human-centric, future, technology, data-driven, policy, collective intelligence, news
Human-centric, future, technology, data-driven, policy, collective intelligence, news
| 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 |
| views | 4 |

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