Resumen

MARTINEZ QUEZADA, Daniel Orlando; ORTIZ SIERRA, Robinson; MARTINEZ CANO, Juan Guillermo  y  LAMOS DIAZ, Henry. Identifying Actors in a Disaster Using Twitter: Sinabung 2018 Case Study. Cienc. Ing. Neogranad. [online]. 2020, vol.30, n.1, pp.117-132.  Epub 16-Ago-2020. ISSN 0124-8170.  https://doi.org/10.18359/rcin.3938.

Twitter has become an important tool to learn about political, social, and economic developments in real time. This platform has become increasingly attractive as a means of communication in various situation; for instance, it can be used in logistical and humanitarian operations to improve coordination among actors involved in a natural disaster. In this paper, the social media analytics (SMA) approach is applied to data generated by Twitter about a natural disaster event (eruption of the Sinabung volcano in 2018) using three significant actors: users, hashtags and URLs. As a result, relevant users, topics, and sources of information during the disaster are identified. This provides an overview of the interactions and impact of the most influential elements during the event under study. News agencies, social media, and research centers were found to be of paramount importance. These findings are compared to those of a previous study, revealing substantial similarities. However, this study identifies new actors from the technical-academic field who sought to contribute to and disseminate relevant information about the disruptive event.

Palabras clave : Twitter; disaster management; social media analytics.

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