all AI news
Gender stereotypes in the mediated personalization of politics: Empirical evidence from a lexical, syntactic and sentiment analysis. (arXiv:2202.03083v2 [cs.CL] UPDATED)
April 14, 2022, 1:11 a.m. | Emanuele Brugnoli, Rosaria Simone, Marco Delmastro
cs.CL updates on arXiv.org arxiv.org
The media attention to the personal sphere of famous and important
individuals has become a key element of the gender narrative. Here we combine
lexical, syntactic and sentiment analysis to investigate the role of gender in
the personalization of a wide range of political office holders in Italy during
the period 2017-2020. On the basis of a score for words that is introduced to
account for gender unbalance in both representative and news coverage, we show
that the political personalization …
analysis arxiv evidence gender personalization politics sentiment analysis
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Technology Consultant Master Data Management (w/m/d)
@ SAP | Walldorf, DE, 69190
Research Engineer, Computer Vision, Google Research
@ Google | Nairobi, Kenya