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Authors
Enrique Peña
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Carlos Fontes
Abstract
Today it can be observed how many of the daily human activities have been transferred from the material world to the digital world and with them the data they generate. Among these new digital relationships are commercial interactions, new labor relationships derived from the increase in remote virtual work and new forms of social and coexistence relationships facilitated by a wide range of technologies, including social networks such as Facebook, Twitter and Instagram. Every time there is access to more and better technology at the service of society, States and private organizations can benefit from this new paradigm when it comes to meeting their social objectives. This is an era in which the emphasis shifted from data generation to
data processing in large volumes. Among the different tools that generate unsolicited online data and for the analysis of this document, the Twitter platform stands out, a social network for free use of bidirectional communication that has been the center of different political exercises around the world, used by many politicians from the West and characterized by having a massive data query interface suitable for centers that seek social analysis.
This document aims at demonstrating, from two practical examples (Word Cloud analysis and sentiment analysis), how the use of the Application Programming Interface (API) of Twitter can provide useful information to improve decision-making in public policies, applicable to specific issues that are difficult to approach, such as the use of psychoactive substances in society. The data obtained, duly processed, will allow a better starting context for decision-making that is usually overshadowed by the dynamics of prohibitionism in drug policies.
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References
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