Cultivation effects of mass and social media on perceptions and behavioural intentions in post-disaster recovery – The case of the 2011 Great East Japan Earthquake

2016 ◽  
Vol 33 (3) ◽  
pp. 753-772 ◽  
Author(s):  
John W. Cheng ◽  
Hitoshi Mitomo ◽  
Tokio Otsuka ◽  
Stefan Y. Jeon
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bidyut Hazarika ◽  
Alan Rea ◽  
Reza Mousavi ◽  
Kuanchin Chen

Purpose This study aims to investigate patterns of social media posting occurring during the initial post-disaster recovery period. In addition, the study investigates the antecedents of user engagement with Twitter posts or “tweets.” Design/methodology/approach This study uses Hurricane Harvey as the research focus because of its $125bn in damage and the recovery effort associated with it. Analyzing nearly 38,000 tweets related to 2017’s Hurricane Harvey and specifically focuses on rescuers who became to be known as the “Cajun Navy.” Findings The popularity of the tweet significantly influences social media engagement; disaster relief organizations first should seek out alliances and partnerships with those who already are well-known or influential in social media. In addition, by regularly monitoring and participating in social media, such as encouraging retweets and mentions even when not responding to a disaster, agencies will gain social media followers and influence when these are most needed. Research limitations/implications By analyzing patterns of social media posts during and after Hurricane Harvey, this study attempts to quantify social media’s effectiveness during this disaster, in particular with a focus on what characteristics of Harvey-related Twitter posts most influenced user engagement. Practical implications Findings underscore the need for agencies to strengthen their social media presence and use it in all three phases of disaster conceptualization. Beyond managing communication with other agencies and the community, which alone is critical for an agency’s impact, social media offers the world as a potential audience for agencies that can deftly leverage it. Originality/value Social media has revolutionized not only communication but also inter-connectivity as people have normalized its use. Its ubiquity and efficiency have seen its incorporation into the critical area of emergency management, both during and after disasters. The main objective of this paper is to investigate and evaluate the usefulness of social media in disaster recovery efforts, focusing on its advantages in relation to a recent disaster event.


2019 ◽  
Vol 44 ◽  
pp. 25-37 ◽  
Author(s):  
Mehdi Jamali ◽  
Ali Nejat ◽  
Souparno Ghosh ◽  
Fang Jin ◽  
Guofeng Cao

2013 ◽  
Vol 8 (sp) ◽  
pp. 737-745 ◽  
Author(s):  
Takaaki Kato ◽  
◽  
Yasmin Bhattacharya ◽  
Hiroshi Sugata ◽  
Rie Otagiri ◽  
...  

This paper introduces the issues emerging in the context of recovery after the 2011 Great East Japan Earthquake. It considers the historical development of recovery planning in Japan and its influence on the present recovery strategies. The authors have tried to point out the insufficiencies of existing policies to deal with the unexpected magnitude of this disaster and identify a set of six principles for recovery which would enable a better equipped society both in terms of pre-disaster preparedness and post-disaster recovery.


2021 ◽  
Vol 13 (10) ◽  
pp. 5608
Author(s):  
Manjiang Shi ◽  
Qi Cao ◽  
Baisong Ran ◽  
Lanyan Wei

Global disasters due to earthquakes have become more frequent and intense. Consequently, post-disaster recovery and reconstruction has become the new normal in the social process. Through post-disaster reconstruction, risks can be effectively reduced, resilience can be improved, and long-term stability can be achieved. However, there is a gap between the impact of post-earthquake reconstruction and the needs of the people in the disaster area. Based on the international consensus of “building back better” (BBB) and a post-disaster needs assessment method, this paper proposes a new (N-BBB) conceptual model to empirically analyze recovery after the Changning Ms 6.0 earthquake in Sichuan Province, China. The reliability of the model was verified through factor analysis. The main observations were as follows. People’s needs focus on short-term life and production recovery during post-earthquake recovery and reconstruction. Because of disparities in families, occupations, and communities, differences are observed in the reconstruction time sequence and communities. Through principal component analysis, we found that the N-BBB model constructed in this study could provide strong policy guidance in post-disaster recovery and reconstruction after the Changning Ms 6.0 earthquake, effectively coordinate the “top-down” and “bottom-up” models, and meet the diversified needs of such recovery and reconstruction.


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