This chapter explores the use of Twitter in digital campaigns. For this, the Chilean primary presidential elections of June 2013 are used as a case study. A dataset of messages emitted by presidential pre-candidates is analysed. In so doing this, data mining, sentiment analysis and statistical models are used. These techniques allow to obtain a landscape of the network activity, as well as identifying message replication mechanisms, which underlying in the virtual interaction.