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Disentangling the Lexicons of Disaster Response in Twitter

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Courtney D. CorleyAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 1201 - 1204

https://doi.org/10.1145/2740908.2741728

Published: 18 May 2015 Publication History

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Abstract

People around the world use social media platforms such as Twitter to express their opinion and share activities about various aspects of daily life. In the same way social media changes communication in daily life, it also is transforming the way individuals communicate during disasters and emergencies. Because emergency officials have come to rely on social media to communicate alerts and updates, they must learn how users communicate disaster related content on social media. We used a novel information-theoretic unsupervised learning tool, CorEx, to extract and characterize highly relevant content used by the public on Twitter during known emergencies, such as fires, explosions, and hurricanes. Using the resulting analysis, authorities may be able to score social media content and prioritize their attention toward those messages most likely to be related to the disaster.

References

[1]

J. P. Bagrow, D. Wang, and A.-L. Barabasi. Collective response of human populations to large-scale emergencies. PloS one, 6(3):e17680, 2011.

Crossref

Google Scholar

[2]

Booz-Allen-Hamilton. Crisis communications social media round table special report. Report, 2009.

Google Scholar

[3]

W. J. Burns. Risk perception: a review. Report, USC, 2007.

Google Scholar

[4]

V. Covello and P. M. Sandman. Risk communication: evolution and revolution. Solutions to an Environment in Peril, pages 164--178, 2001.

Google Scholar

[5]

B. Fischhoff. Risk perception and communication unplugged: Twenty years of process1. Risk analysis, 15(2):137--145, 1995.

Crossref

Google Scholar

[6]

R. E. Kasperson. Six propositions on public participation and their relevance for risk communication. Risk analysis, 6(3):275--281, 1986.

Crossref

Google Scholar

[7]

Y. R. Lin. The ripples of fear, comfort and community identity during the boston bombings. In iConference 2014 Proceedings, pages 708--720, 2014.

Google Scholar

[8]

P. M. Sandman. Hazard versus outrage in the public perception of risk. Effective risk communication, pages 45--49, 1989.

Google Scholar

[9]

P. Slovic. The feeling of risk: New perspectives on risk perception. Routledge, 2010.

Google Scholar

[10]

P. Slovic, B. Fischhoff, and S. Lichtenstein. Why study risk perception? Risk analysis, 2(2):83--93, 1982.

Google Scholar

[11]

I. Temnikova, andrea Varga, and D. Biyikli. Building a crisis management term resource for social media: The case of floods and protests. In N. C. C. Chair), K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, and S. Piperidis, editors, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, may 2014. European Language Resources Association (ELRA).

Google Scholar

[12]

G. Ver Steeg and A. Galstyan. Discovering structure in high-dimensional data through correlation explanation. http://arxiv.org/abs/1406.1222.

Google Scholar

Cited By

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Alvarado Garcia AWong-Villacres MHernández BLe Dantec C(2024)Bitacora: A Toolkit for Supporting NonProfits to Critically Reflect on Social Media Data UseProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642673(1-29)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642673
Sutton JOlson MWaugh N(2024)The Warning Lexicon: A Multiphased Study to Identify, Design, and Develop Content for Warning MessagesNatural Hazards Review10.1061/NHREFO.NHENG-190025:1Online publication date: Feb-2024
https://doi.org/10.1061/NHREFO.NHENG-1900
Gokul Raj SChitra PSilesh ALingeshwaran R(2023)Flood Severity Assessment Using DistilBERT and NERMachine Learning and Computational Intelligence Techniques for Data Engineering10.1007/978-981-99-0047-3_34(391-402)Online publication date: 16-May-2023
https://doi.org/10.1007/978-981-99-0047-3_34
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Index Terms

Disentangling the Lexicons of Disaster Response in Twitter
1. Applied computing
  1. Law, social and behavioral sciences
    1. Sociology
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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U.S. Department of Homeland Security's Science and Technology Directorate First Responders Group

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WWW '15

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IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Alvarado Garcia AWong-Villacres MHernández BLe Dantec C(2024)Bitacora: A Toolkit for Supporting NonProfits to Critically Reflect on Social Media Data UseProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642673(1-29)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642673
Sutton JOlson MWaugh N(2024)The Warning Lexicon: A Multiphased Study to Identify, Design, and Develop Content for Warning MessagesNatural Hazards Review10.1061/NHREFO.NHENG-190025:1Online publication date: Feb-2024
https://doi.org/10.1061/NHREFO.NHENG-1900
Gokul Raj SChitra PSilesh ALingeshwaran R(2023)Flood Severity Assessment Using DistilBERT and NERMachine Learning and Computational Intelligence Techniques for Data Engineering10.1007/978-981-99-0047-3_34(391-402)Online publication date: 16-May-2023
https://doi.org/10.1007/978-981-99-0047-3_34
Gongora‐Svartzman GRamirez‐Marquez J(2021)Social Cohesion: Mitigating Societal Risk in Case Studies of Digital Media in Hurricanes Harvey, Irma, and MariaRisk Analysis10.1111/risa.1382042:8(1686-1703)Online publication date: 8-Sep-2021
https://doi.org/10.1111/risa.13820
Raman RVarshney L(2021)Universal ClusteringInformation-Theoretic Methods in Data Science10.1017/9781108616799.010(263-301)Online publication date: 22-Mar-2021
https://doi.org/10.1017/9781108616799.010
Fan CWu FMostafavi A(2020)A Hybrid Machine Learning Pipeline for Automated Mapping of Events and Locations From Social Media in DisastersIEEE Access10.1109/ACCESS.2020.29655508(10478-10490)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2965550
Niles MEmery BReagan ADodds PDanforth C(2019)Social media usage patterns during natural hazardsPLOS ONE10.1371/journal.pone.021048414:2(e0210484)Online publication date: 13-Feb-2019
https://doi.org/10.1371/journal.pone.0210484
Anam AGangopadhyay ARoy N(2019)Identifying the Context of Hurricane Posts on Twitter using Wavelet Features2019 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2019.00072(350-358)Online publication date: Jun-2019
https://doi.org/10.1109/SMARTCOMP.2019.00072
Shibuya YShibuya Y(2019)Concept of “People as Sensors”Social Media Communication Data for Recovery10.1007/978-981-15-0825-7_2(19-37)Online publication date: 24-Nov-2019
https://doi.org/10.1007/978-981-15-0825-7_2
Nakade VMusaev AAtkison TWong KShen CBrown D(2018)Preliminary research on thesaurus-based query expansion for Twitter data extractionProceedings of the 2018 ACM Southeast Conference10.1145/3190645.3190694(1-4)Online publication date: 29-Mar-2018
https://dl.acm.org/doi/10.1145/3190645.3190694
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Digitally enabled disaster response: the emergence of social media as boundary objects in a flooding disaster

Celebrity's self-disclosure on Twitter and parasocial relationships

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