Framing resilience: Post-disaster communication in Aotearoa-New Zealand
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Standard
in: International Journal of Disaster Risk Reduction, Jahrgang 117, 105167, 01.02.2025.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Framing resilience
T2 - Post-disaster communication in Aotearoa-New Zealand
AU - Buelow, Franca
AU - Brower, Ann
AU - Cradock-Henry, Nicholas
N1 - Publisher Copyright: © 2025 The Authors
PY - 2025/2/1
Y1 - 2025/2/1
N2 - Realising resilience requires long-term, strategic transformation. However, this is often forestalled by immediate, often reactive, post-disaster needs. Here, we use Natural Language Processing to compare media coverage of Cyclone Gabrielle, a significant storm affecting Aotearoa New Zealand (A-NZ) from February 12–16, 2023, with A-NZ based research on the subject. The aim is to gain new insight into the ways in which disasters are framed post-event, and over longer time scales to compare immediate and consolidated concerns and insights. Results reveal contrasting frames: local and international media frames cyclone response in relation to tasks assigned to central and local governments, global climate change dynamics, emissions reductions, infrastructure, and overall economic development. Research frames resilience in terms of community and regional adaptation, classification, measurement, and assessment. Post-disaster media coverage tends to frame resilience around readiness and response rather than emphasizing pathways to future reduction and recovery, which are present in research but lack a focus on government, governance, and pathways. Both media and research portray community effects in positive terms. With changing frequency and severity of climate related extremes, reframing coverage and proactively shifting the discourse towards enabling transformations for climate-adapted futures may be necessary to better leverage the post-disaster period for change.
AB - Realising resilience requires long-term, strategic transformation. However, this is often forestalled by immediate, often reactive, post-disaster needs. Here, we use Natural Language Processing to compare media coverage of Cyclone Gabrielle, a significant storm affecting Aotearoa New Zealand (A-NZ) from February 12–16, 2023, with A-NZ based research on the subject. The aim is to gain new insight into the ways in which disasters are framed post-event, and over longer time scales to compare immediate and consolidated concerns and insights. Results reveal contrasting frames: local and international media frames cyclone response in relation to tasks assigned to central and local governments, global climate change dynamics, emissions reductions, infrastructure, and overall economic development. Research frames resilience in terms of community and regional adaptation, classification, measurement, and assessment. Post-disaster media coverage tends to frame resilience around readiness and response rather than emphasizing pathways to future reduction and recovery, which are present in research but lack a focus on government, governance, and pathways. Both media and research portray community effects in positive terms. With changing frequency and severity of climate related extremes, reframing coverage and proactively shifting the discourse towards enabling transformations for climate-adapted futures may be necessary to better leverage the post-disaster period for change.
KW - Adaptation
KW - Aotearoa New Zealand
KW - Climate change
KW - Natural language processing
KW - Resilience communication
KW - Transformation
KW - Vulnerability
KW - Sustainability Governance
UR - http://www.scopus.com/inward/record.url?scp=85214301202&partnerID=8YFLogxK
U2 - 10.1016/j.ijdrr.2024.105167
DO - 10.1016/j.ijdrr.2024.105167
M3 - Journal articles
AN - SCOPUS:85214301202
VL - 117
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
SN - 2212-4209
M1 - 105167
ER -