Participatory Social Sensor: A Framework to Social Media Data Acquisition and Analysis

• Ígor Araújo Universidade Federal de Minas Gerais
• Paulo H. L. Rettore Universidade Federal de Minas Gerais
• Guilherme Maia Universidade Federal de Minas Gerais

DOI: https://doi.org/10.5753/sbrc_estendido.2019.7765

Abstract

Understanding urban mobility, people’s feelings and social behaviors have been the focus of many researches and investments. Due to the costs to create a sensors’ infrastructure in a given area, data about many aspects of a city become restricted to private companies, research groups and governments. In this scenario, considering that Location-Based Social Media (LBSM) may provide a new way to better comprehend the social behaviors with the user’s viewpoint, we propose the use of LBSM as participatory sensing and design the Participatory Social Sensor (PSS), a friendly and open source framework to social media data acquisition and analysis. We develop the Twitter data acquisition and analysis process, aiming to guide new researchers in their application goals with a structured input setup, where they specify the spatial area, temporal interval, tags, and other parameters. The result is a set of visual analyses which describe the context overview, allowing researchers and students to conduct their projects, focusing only on the main research issues and help them to make project decisions.

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