The Impact of Candidates’ Profile and Campaign Decisions in Electoral Results: A Data Analytics Approach

In recent years, a wide range of techniques has been developed to predict electoral results and measure the influence different factors in these results. this paper, we analyze political profile candidates (characterized by personal features) their campaign effort expenditure territorial deployment strategies retrieved from social networks activity) on This analysis is carried out using three most frequent data analyitcs algorithms literature. For our analysis, consider 2017 Parliamentary elections Chile, which are first after major reform system, that encompassed transition binomial proportional modification districts’ structure, an increase number seats, requirement gender parity lists coalitions. The obtained reveal that, regardless coalition, experience candidates, particular same seat they running for (even when corresponding district modified), large influential factor explain However, attained show other features, such as expenditures, depends coalition. Additionally, means simulation procedure, how levels efforts might impact candidates. procedure could be used parties coalitions planning strategies.