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Utilizando Análise de Sentimentos para Definição da Homofilia Política dos Usuários do Twitter durante a Eleição Presidencial Americana de 2016

Josemar Alves CaetanoHélder Seixas LimaMateus Freira dos SantosHumberto Torres Marques-Neto

This paper proposes a political homophily analysis among Twitter users during the 2016 US presidential election. We collected tweets, user profiles, and their network for this study over 122 days (08/01/2016 to 11/30/2016). Based on our dataset we considered the sentiment related to the candidates Donald Trump and Hillary Clinton for homophily analysis. The results showed that exist greater homophily among users that share negative sentiment associated with both candidates, higher in the case of candidate Donald Trump. The results also revealed that exists higher heterophily among users that did not express sentiment related to both candidates.

http://www.lbd.dcc.ufmg.br/colecoes/brasnam/2017/001.pdf

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