Tweet factors influencing trust and usefulness during both man-made and natural disasters

Shane E. Halse, Andrea Tapia, Anna Squicciarini, Cornelia Caragea

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

To this date, research on crisis informatics has focused on the detection of trust in Twitter data through the use of message structure, sentiment, propagation and author. Little research has examined the usefulness of these messages in the crisis response domain. Toward detecting useful messages in case of crisis, in this paper, we characterize tweets, which are perceived useful or trustworthy, and determine their main features. Our analysis is carried out on two datasets (one natural and one man made) gathered from Twitter concerning hurricane Sandy in 2012 and the Boston Bombing 2013. The results indicate that there is a high correlation and similar factors (support for the victims, informational data, use of humor and type of emotion used) influencing trustworthiness and usefulness for both disaster types. This could have impacts on how messages from social media data are analyzed for use in crisis response.

Original languageEnglish (US)
Title of host publicationISCRAM 2016 Conference Proceedings - 13th International Conference on Information Systems for Crisis Response and Management
EditorsJoao Porto de Albuquerque, Kathleen Ann Moore, Pedro Antunes, Andrea H. Tapia, Victor Amadeo Banuls Silvera
PublisherInformation Systems for Crisis Response and Management, ISCRAM
ISBN (Electronic)9788460879848
StatePublished - Jan 1 2016
Event13th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2016 - Rio de Janeiro, Brazil
Duration: May 22 2016May 25 2016

Publication series

NameProceedings of the International ISCRAM Conference
Volume0
ISSN (Electronic)2411-3387

Other

Other13th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2016
Country/TerritoryBrazil
CityRio de Janeiro
Period5/22/165/25/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering

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