RT journal article
T1 Gender inequality on Twitter during the UK election of 2019
A1 Fernández Melendres, Carla
A1 Orrequia Barea, Aroa
A2 Filología Francesa e Inglesa
K1 corpus
K1 sentiment analysis
K1 hatred speech
K1 women
K1 Twitter
AB Social media platforms such as Twitter play an essential role in politics and social movements nowadays. The aim of this paper is to compare and contrast the language used on Twitter to refer to the candidates of the last UK general election of December 2019 in order to raise awareness of gender inequality in politics. The methodology followed is based on three aspects: (a) a quantitative analysis using Sketch Engine to extract the main collocates from the corpus; (b) a sentiment analysis of the compiled tweets by means of two lexicon classifications: BING (Hu & Liu, 2004) and NRC (Mohammad & Turney, 2013), which classifies words into eight basic emotions and two sentiments (positive and negative); and (c) a qualitative analysis employing a Critical Discourse Analysis approach (Fairclough, 2013) to examine verbal abuse towards women from a linguistics perspective.
PB Universitat de Valencia
SN 2444-1449
YR 2021
FD 2021
LK http://hdl.handle.net/10498/27088
UL http://hdl.handle.net/10498/27088
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-nov-2026