Dataset [Study on Algorithms in Election Campaigns: Analysis with IRaMuteQ]

This is the raw data behind the publication:

Carvalho, P. R; Ramos, M. G.; Schneider, M. A. F. Study on algorithms in election campaigns: analysis with Iramuteq. XX ENANCIB 2019.

The present work reports the exploratory empirical research carried out in the Scopus database with the objective of identifying, quantifying and analyzing the scientific production of the topic algorithms in politics in electoral campaigns, from 2008 to 2018, by means of Scientometric techniques. In addition, the Content Analysis of abstracts of the articles collected through Iramuteq, open source and free software. The methodological proposal refers to the construction of a textual corpus composed of 150 articles retrieved, following analyzes such as: pre-analysis of the material; data mining; simple statistical analysis; Descending Hierarchical Classification; Factorial Correspondence Analysis; similitude analysis; and frequency analysis with word cloud visualization. The result of the study demonstrated the efficiency of the chosen keywords in the retrieval of information. In addition, we identified the convergence and repetition of themes of the articles represented by the text segments.

Link: https://brapci.inf.br/index.php/res/v/122943