Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Optimizing the Efficiency, Vulnerability and Robustness of Road-Based Para-Transit Networks Using Genetic Algorithm Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Measuring Social Responsiveness for Improved Handling of Extreme Situations

Authors : Nikolay Butakov, Timur Fatkulin, Daniil Voloshin

Published in: Computational Science – ICCS 2018

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Volunteering and community reaction is known to be an essential part of response to critical events. Rapid evolution and emergence of the new means of communication allowed even further expansion of these practices via the medium of the social networks. A new category of volunteers emerged – those that are not in the proximity to the area of emergency but willing to help the affected. Widely known as digital volunteers, they help aggregate, disseminate and distribute information to increase and maintain the awareness of stakeholders and resourceful individuals about the situation. There has been an upsurge of investigations of roles, timelines and aggregate characteristics of emergent communication. Compared to that, characteristics of crisis-related social media posts that predict wider social response to date have been studied modestly. In this research we are studying the process of reaction of potential digital volunteers to different extreme situations in a social media platform.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Cascading Failure Based on Load Redistribution of a Smart Grid with Different Coupling Modes
next chapter A Computational Model-Based Framework to Plan Clinical Experiments – An Application to Vascular Adaptation Biology
Literature
1.
Simon, T., Goldberg, A., Adini, B.: Socializing in emergencies—a review of the use of social media in emergency situations. Int. J. Inf. Manag. 35(5), 609–619 (2015)CrossRef
2.
Procopio, C.H., Procopio, S.T.: Do you know what it means to miss New Orleans? Internet communication, geographic community, and social capital in crisis. J. Appl. Commun. Res. 35(1), 67–87 (2007)CrossRef
3.
Palen, L., Liu, S.B.: Citizen communications in crisis: anticipating a future of ICT-supported public participation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 727–736 (2007)
4.
Cohen, S.E.: Sandy marked a shift for social media use in disasters. Emerg. Manag. (2013)
5.
Reuter, C., Ludwig, T., Kaufhold, M.-A., Spielhofer, T.: Emergency services’ attitudes towards social media: a quantitative and qualitative survey across Europe. Int. J. Hum Comput Stud. 95, 96–111 (2016)CrossRef
6.
Stallings, R.A., Quarantelli, E.L.: Emergent citizen groups and emergency management. Public Adm. Rev. 45, 93–100 (1985)CrossRef
7.
Fischer, D., Posegga, O., Fischbach, K.: Communication barriers in crisis management: a literature review. In: ECIS, 2016, Research Paper 168 (2016)
8.
Sobiegalla, F., Posegga, O., Fischbach, K.: Evaluating a mobile crisis response system for the management of disaster volunteers. In: Designing the Digital Transformation: DESRIST 2017 Research in Progress, Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology. Karlsruhe, Germany, 30 May–1 June 2017
9.
Whittaker, J., McLennan, B., Handmer, J.: A review of informal volunteerism in emergencies and disasters: definition, opportunities and challenges. Int. J. disaster risk Reduct. 13, 358–368 (2015)CrossRef
10.
Fishwick, C.: Tomnod–the online search party looking for Malaysian Airlines flight MH370. Guard 14, 37 (2014)
11.
12.
Starbird, K., Palen, L.: Voluntweeters: self-organizing by digital volunteers in times of crisis. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1071–1080 (2011)
13.
Reuter, C., Heger, O., Pipek, V.: Combining real and virtual volunteers through social media. In: ISCRAM (2013)
14.
Ukkusuri, S., Zhan, X., Sadri, A., Ye, Q.: Use of social media data to explore crisis informatics: study of 2013 Oklahoma Tornado. Transp. Res. Rec. J. Transp. Res. Board 2459, 110–118 (2014)CrossRef
15.
Purohit, H., Hampton, A., Bhatt, S., Shalin, V.L., Sheth, A.P., Flach, J.M.: Identifying seekers and suppliers in social media communities to support crisis coordination. Comput. Support. Coop. Work 23(4–6), 513–545 (2014)CrossRef
16.
Bandari, R., Asur, S., Huberman, B.A.: The pulse of news in social media: forecasting popularity. ICWSM 12, 26–33 (2012)
17.
Vorontsov, K., Frei, O., Apishev, M., Romov, P., Dudarenko, M.: BigARTM: open source library for regularized multimodal topic modeling of large collections. In: International Conference on Analysis of Images, Social Networks and Texts, pp. 370–381 (2015)
18.
Geurts, P., Ernst, D., Wehenkel, L.: Extremely randomized trees. Mach. Learn. 63(1), 3–42 (2006)CrossRef
19.
Breiman, L.: Random forest. Mach. Learn. 45(5), 1–35 (1999)
20.
Butakov, N., Petrov, M., Radice, A.: Multitenant approach to crawling of online social networks. Procedia Comput. Sci. 101, 115–124 (2016)CrossRef
Metadata
Title
Measuring Social Responsiveness for Improved Handling of Extreme Situations
Authors
Nikolay Butakov
Timur Fatkulin
Daniil Voloshin
Copyright Year
2018
Book
Computational Science – ICCS 2018

Print ISBN: 978-3-319-93697-0

Electronic ISBN: 978-3-319-93698-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-93698-7_26

Premium Partner

    Image Credits