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User Generated Content: An Analysis of User Behavior by Mining Political Tweets

  • Rocío Abascal-Mena
  • Erick López-Ornelas
  • J. Sergio Zepeda-Hernández
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8029)

Abstract

With the emergence of smarthphones and social networks, a very large proportion of communication takes place on short texts. This type of communication, often anonymous, has allowed a new public participation in political issues. In particular, electoral phenomena all over the world have been greatly influenced by these networks. In the recent elections in Mexico, Twitter became a virtual place to bring together scientists, artists, politicians, adults, youth and students trying to persuade people about the candidate: Andrés Manuel López Obrador (AMLO). Our research is based on the collection of all tweets sent before, during and after the presidential elections of July 1, 2012 in Mexico containing the hashtag #AMLO. The aim of this study is to analyze the behavior of users on three different times. We apply SentiWordNet 3.0 in order to know how user behavior changes depending of the political situation and whether this is reflected on the tweets.

Keywords

user behavior sentiment analysis social web Twitter public participation web 2.0 user generated content 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Rocío Abascal-Mena
    • 1
  • Erick López-Ornelas
    • 1
  • J. Sergio Zepeda-Hernández
    • 1
  1. 1.Departamento de Tecnologías de la InformaciónUniversidad Autónoma Metropolitana – CuajimalpaMéxico D.F.México

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