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Assessing the Suitability of Social Media Data for Identifying Crisis Events in Smart Cities: An Exploratory Study on Flood Situations

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Electronic Government (EGOV 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13391))

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Abstract

Social media have been used to extract different types of information. The objective of this exploratory research was to investigate the characteristics necessary to identify crisis events with social media, analyzing the aptitude of messages produced in three crisis events that hit cities in the southeastern region of Brazil. In total, 3,042 Twitter posts were analyzed based on three essential dimensions for event identification: semantic, temporal and geographic information. The results show that users actually write messages about urban floods in Brazilian cities. However, it is possible to observe differences in volume, agility and location properties posted in areas with different numbers of populations. In addition, most posts lack information. Naturally, this limits the automatic use of these messages. Before applying some automatic detection technique, managers can investigate the data that circulates in a certain region and employ strategies to improve the use of this data.

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Notes

  1. 1.

    https://g1.globo.com. Last accessed: Jan. 30\(^\text {th}\) 2022.

  2. 2.

    “alagamento”, “enchente”, “inundação”, “inundaçães” and “inundado”.

  3. 3.

    “alaga”, “alagada”, “alagado”, “alagando”, “alagar”, “alagou”, “inunda”, “inundada”, “inundando”, “inundar” and “inundou”.

  4. 4.

    https://sidra.ibge.gov.br/tabela/6579#resultado. Last accessed: Jan. 30\(^\text {th}\) 2022.

  5. 5.

    https://sidra.ibge.gov.br/tabela/6579#resultado. Last accessed: Jan. 30\(^\text {th}\) 2022.

  6. 6.

    https://sidra.ibge.gov.br/tabela/6579#resultado. Last accessed: Jan. 30\(^\text {th}\) 2022.

  7. 7.

    https://portal.inmet.gov.br/paginas/catalogoaut#. Last accessed: Jan. 30\(^\text {th}\) 2022.

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Acknowledgement

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001

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Authors and Affiliations

  1. Institute of Computing, Fluminense Federal University, Niterói-Rj, Brazil

    Magaywer Moreira de Paiva, José Viterbo & Flávia Bernardini

Authors
  1. Magaywer Moreira de Paiva
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  2. José Viterbo
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  3. Flávia Bernardini
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Corresponding authors

Correspondence to Magaywer Moreira de Paiva , José Viterbo or Flávia Bernardini .

Editor information

Editors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Marijn Janssen

  2. Corvinus University of Budapest, Budapest, Hungary

    Csaba Csáki

  3. Linköping University, Linköping, Sweden

    Ida Lindgren

  4. University of the Aegean, Samos, Greece

    Euripidis Loukis

  5. Linköping University, Linköping, Sweden

    Ulf Melin

  6. Danube University Krems, Krems an der Donau, Austria

    Gabriela Viale Pereira

  7. University of Granada, Granada, Spain

    Manuel Pedro Rodríguez Bolívar

  8. University of Macedonia, Thessaloniki, Greece

    Efthimios Tambouris

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Paiva, M.M.d., Viterbo, J., Bernardini, F. (2022). Assessing the Suitability of Social Media Data for Identifying Crisis Events in Smart Cities: An Exploratory Study on Flood Situations. In: Janssen, M., et al. Electronic Government. EGOV 2022. Lecture Notes in Computer Science, vol 13391. Springer, Cham. https://doi.org/10.1007/978-3-031-15086-9_10

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  • DOI: https://doi.org/10.1007/978-3-031-15086-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15085-2

  • Online ISBN: 978-3-031-15086-9

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