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Cited by 264

The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.

Social Media in Crisis Management: An Evaluation and Analysis of Crisis Informatics Research

Reuter, Christian, Hughes, Amanda Lee, Kaufhold, Marc-André·2018·International Journal of Human–Computer Interaction

Abstract

Since the terrorist attacks of 9/11, the use of social media in emergency and crisis events has greatly increased and many studies have concentrated on the use of ICT and social media before, during, or after these events. The field of research that these studies fall under is called crisis informatics. In this article, we evaluate and analyze crisis informatics research by looking at case studies of social media use in emergencies, outlining the types of research found in crisis informatics, and expounding upon the forms of interaction that have been researched. Finally, we summarize the achievements from a human–computer interaction perspective and outline trends and challenges for future research.

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Metadata

Authors
Reuter, C., Hughes, A. L., & Kaufhold, M.-A.
Venue
International Journal of Human–Computer Interaction
Published
2018-01-24
Volume
34
Issue
4
Pages
280-294
ISSN
  • 1044-7318 (ISSN-L)
  • 1532-7590
OpenAlex
W2793897830
Cited by
264
References
110
FWCI
54.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Social Media in Crisis Management: An Evaluation and Analysis of Crisis Informatics Research. https://app.cochat.ai/papers/10.1080/10447318.2018.1427832
The paper
Reuter, C., Hughes, A. L., & Kaufhold, M.-A. (2018). Social Media in Crisis Management: An Evaluation and Analysis of Crisis Informatics Research. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2018.1427832

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.