UK_ELECTIONS2019

Contains Twitter textual data (and related metadata) retrieved from 20/11/2019 to 11/12/2019, to explore qualitative and quantitative patterns of digital hostility against UK politicians of different genders and ethnicities in the three weeks before the 2019 UK Elections. Data was retrieved to include an equal number of male and female politicians of different ethnicities and from both the Labour and Conservative Parties. Data consists of tweets including mentions to the following prominent politicians: Sajid Javid, Dominic Raab, Priti Patel, Andrea Leadsom, Liz Truss, John McDonnell, David Lammy, Diane Abbott, Angela Rayner and Emily Thornberry. Total number of words: 2,671,178.

Related Organizations

University of Navarra
Spain

Keywords

MISOGYNY, TWITTER, CYBERHATE

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