research-article

Enhancing situation awareness of public safety events by visualizing topic evolution using social media

Authors:

Feng SunAuthors Info & Claims

dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

Article No.: 7, Pages 1 - 10

https://doi.org/10.1145/3209281.3209378

Published: 30 May 2018 Publication History

Abstract

Social media contributes to enhancing transparency and openness for the purpose of innovating public services and policy-making. In disaster management, social media data can be mined to discover public perceptions and concerns on large disaster events. However, converting large data streams into useful information remains a challenge due to the unstructured nature of textual data. This study proposes an interactive topic modeling method to analyze microblog data for understanding the dynamics of public expressions immediately after a major explosion event. First, we extract topics from microblog message data. In order to test the influence of the number of topics, the topics are detected at multiple levels of granularity by varying the number of topics. Second, these topics are used to detect topical compositions of contents at different time slices and assess the topic evolution over time. The topic evolution patterns are visualized by the streamgraph method to discover informative topics to help to take further actions. Third, since the first-level topics are not informative, we conduct a second-level topic (subtopic) analysis to detect key decision elements by choosing "investigation" from the first-level topics, a hot focus in any man-made disaster. The results improve our understanding of the topic composition evolution around major man-made disasters and have implications on officials deciding what and when to release formal investigation information to the public.

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Cited By

Alharbi KHaq M(2024)Enhancing Disaster Response and Public Safety with Advanced Social Media Analytics and Natural Language ProcessingEngineering, Technology & Applied Science Research10.48084/etasr.723214:3(14212-14218)Online publication date: 1-Jun-2024
https://doi.org/10.48084/etasr.7232
Ma JWang LZhang YYuan WGuo W(2023)An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to localExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.118695212:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.eswa.2022.118695
Chowdhury SBasu SMaulik U(2022)A survey on event and subevent detection from microblog data towards crisis managementInternational Journal of Data Science and Analytics10.1007/s41060-022-00335-y14:4(319-349)Online publication date: 10-Jun-2022
https://doi.org/10.1007/s41060-022-00335-y
Show More Cited By

Index Terms

Enhancing situation awareness of public safety events by visualizing topic evolution using social media
1. Applied computing
  1. Computers in other domains
    1. Computing in government
      1. E-government
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Document topic models
  2. Information systems applications
    1. Decision support systems
      1. Data analytics

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Published In

cover image ACM Other conferences

dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

May 2018

889 pages

ISBN:9781450365260

DOI:10.1145/3209281

Conference Chairs:
Marijn Janssen
Delft University of Technology, Netherlands
,
Soon Ae Chun
City University of New York (CUNY), USA
,
Vishanth Weerakkody
Bradford University, UK
,
Editors:
Anneke Zuiderwijk
Delft University of Technology, Netherlands
,
Charles C. Hinnant
Florida State University, USA

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 30 May 2018

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US National Science Foundation
National Science Foundation of China
National Key R&D Program of China
China Scholarship Council (CSC)

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dg.o '18

dg.o '18: 19th Annual International Conference on Digital Government Research

May 30 - June 1, 2018

Delft, The Netherlands

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Overall Acceptance Rate 150 of 271 submissions, 55%

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Cited By

Alharbi KHaq M(2024)Enhancing Disaster Response and Public Safety with Advanced Social Media Analytics and Natural Language ProcessingEngineering, Technology & Applied Science Research10.48084/etasr.723214:3(14212-14218)Online publication date: 1-Jun-2024
https://doi.org/10.48084/etasr.7232
Ma JWang LZhang YYuan WGuo W(2023)An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to localExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.118695212:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.eswa.2022.118695
Chowdhury SBasu SMaulik U(2022)A survey on event and subevent detection from microblog data towards crisis managementInternational Journal of Data Science and Analytics10.1007/s41060-022-00335-y14:4(319-349)Online publication date: 10-Jun-2022
https://doi.org/10.1007/s41060-022-00335-y
Li QLi MShi XWu BXiao Y(2021)A key elements influence discovery scheme based on ternary association graph and representation learningKnowledge-Based Systems10.1016/j.knosys.2021.107359229:COnline publication date: 11-Oct-2021
https://dl.acm.org/doi/10.1016/j.knosys.2021.107359
Bodrunova SBlekanov ITarasov N(2021)Global Agendas: Detection of Agenda Shifts in Cross-National Discussions Using Neural-Network Text Summarization for TwitterSocial Computing and Social Media: Experience Design and Social Network Analysis10.1007/978-3-030-77626-8_15(221-239)Online publication date: 3-Jul-2021
https://doi.org/10.1007/978-3-030-77626-8_15
El Akrouchi MBenbrahim HKassou I(2020)Monitoring Early Warning Signs Evolution Through TimeProceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence10.1145/3446132.3446173(1-9)Online publication date: 24-Dec-2020
https://dl.acm.org/doi/10.1145/3446132.3446173
Fu XWang YLi MDou MQiao MHu K(2020)Community Evolutional Network for Situation Awareness Using Social MediaIEEE Access10.1109/ACCESS.2020.29761088(39225-39240)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2976108
Yuan FLiu R(2020)Mining Social Media Data for Rapid Damage Assessment during Hurricane Matthew: Feasibility StudyJournal of Computing in Civil Engineering10.1061/(ASCE)CP.1943-5487.000087734:3Online publication date: May-2020
https://doi.org/10.1061/(ASCE)CP.1943-5487.0000877
Makker MRamanathan RDinesh S(2019)Post Disaster Management Using Satellite Imagery and Social Media Data2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS)10.1109/CSITSS47250.2019.9031042(1-6)Online publication date: Dec-2019
https://doi.org/10.1109/CSITSS47250.2019.9031042
Chen XLi Q(2019)Event modeling and mining: a long journey toward explainable eventsThe VLDB Journal10.1007/s00778-019-00545-0Online publication date: 1-Jul-2019
https://doi.org/10.1007/s00778-019-00545-0

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