An exploration of social media in extreme events: Rumor theory and twitter during the HAITI earthquake 2010

Onook Oh, Kyounghee Hazel Kwon, H. Raghav Rao

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

178 Scopus citations

Abstract

Due to its rapid speed of information spread, wide user bases, and extreme mobility, Twitter is drawing attention as a potential emergency reporting tool under extreme events. However, at the same time, Twitter is sometimes despised as a citizen based non-professional social medium for propagating misinformation, rumors, and, in extreme case, propaganda. This study explores the working dynamics of the rumor mill by analyzing Twitter data of the Haiti Earthquake in 2010. For this analysis, two key variables of anxiety and informational uncertainty are derived from rumor theory, and their interactive dynamics are measured by both quantitative and qualitative methods. Our research finds that information with credible sources contribute to suppress the level of anxiety in Twitter community, which leads to rumor control and high information quality.

Original languageEnglish (US)
Title of host publicationICIS 2010 Proceedings - Thirty First International Conference on Information Systems
StatePublished - 2010
Externally publishedYes
Event31st International Conference on Information Systems, ICIS 2010 - Saint Louis, MO, United States
Duration: Dec 12 2010Dec 15 2010

Publication series

NameICIS 2010 Proceedings - Thirty First International Conference on Information Systems

Other

Other31st International Conference on Information Systems, ICIS 2010
Country/TerritoryUnited States
CitySaint Louis, MO
Period12/12/1012/15/10

Keywords

  • Haiti earthquake
  • Non-parametric ANOVA
  • Rumor theory
  • Semantic network analysis
  • Social media
  • Twitter

ASJC Scopus subject areas

  • Information Systems

Fingerprint

Dive into the research topics of 'An exploration of social media in extreme events: Rumor theory and twitter during the HAITI earthquake 2010'. Together they form a unique fingerprint.

Cite this