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Cited by 419

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Twitter for crisis communication: lessons learned from Japan's tsunami disaster

Acar, Adam, Muraki, Yuya·2011·International Journal of Web Based Communities

Abstract

Two weeks after the Great Tohoku earthquake followed by the devastating tsunami, we have sent open-ended questionnaires to a randomly selected sample of Twitter users and also analysed the tweets sent from the disaster-hit areas. We found that people in directly affected areas tend to tweet about their unsafe and uncertain situation while people in remote areas post messages to let their followers know that they are safe. Our analysis of the open-ended answers has revealed that unreliable retweets (RTs) on Twitter was the biggest problem the users have faced during the disaster. Some of the solutions offered by the respondents included introducing official hash tags, limiting the number of RTs for each hash tag and adding features that allow users to trace information by maintaining anonymity.

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Metadata

Authors
Acar, A., & Muraki, Y.
Venue
International Journal of Web Based Communities
Published
2011
Volume
7
Issue
3
Pages
392
ISSN
  • 1477-8394 (ISSN-L)
  • 1741-8216
OpenAlex
W1981048805
Cited by
419
References
16
FWCI
55.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Twitter for crisis communication: lessons learned from Japan's tsunami disaster. https://app.cochat.ai/papers/10.1504/ijwbc.2011.041206
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Acar, A., & Muraki, Y. (2011). Twitter for crisis communication: lessons learned from Japan's tsunami disaster. International Journal of Web Based Communities. https://doi.org/10.1504/ijwbc.2011.041206

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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.