Análisis de Twitter como fuente de información para mejorar las estrategias de prevención por delincuencia en la ciudad de Quito

Abstract

The extraction of tweets is presented as a method for crime prevention, offering advantages such as: i) Monitoring, ii) Alerts, iii) Real-time analysis, iv) Immediate access to relevant information, among others. For this reason, data mining has been proposed with the objective of identifying frequent criminal acts. Methodologies, such as risk zone patterns, were applied to collect crucial information on a daily basis. The extraction was provided in this paper addressing seven key aspects: i) Data collection and storage, ii) Pre-processing methods, iii) Data search methods, iv) Data processing, v) Specific selection criteria, vi) Observational and descriptive methodology, and vii) Patterns and trends with results supporting the effectiveness of tweet extraction as a crime prevention method.

It promises to be a crime prevention method today. Social networking platforms have acquired a fundamental role in the sphere of education, promotion and communication. These virtual spaces not only offer a wide range of functionalities, but also provide significant opportunities for professional development and advancement in various fields. Large companies develop their APIs on the platforms that social network users use most frequently. The method used to extract news from Twitter is through them. The results obtained through this methodology support its applicability for the continuous monitoring and analysis of criminal activities, a tool that has been used for prevention strategies in the city of Quito.