A dataset of journalists on Twitter

This dataset comprises the Twitter timelines of journalists belonging to 17 different countries from 8 different continental regions, downloaded in May 2018. We used the Twitter REST API, which allows us to download, for a given user, the last 3200 tweets since the time of the download.

{"references": ["Toprak, Mustafa, Chiara Boldrini, Andrea Passarella, and Marco Conti. \"Journalists' ego networks in Twitter: Invariant and distinctive structural features.\" Online Social Networks and Media 30 (2022): 100207."]}

Related Organizations

Istituto di Informatica e Telematica
Italy
National Research Council
Italy

Keywords

Online Social Network data, journalists, twitter

EOSC Subjects

Twitter Data

Impact byBIP!

	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