Evidence map›Paper›PMID 34462620›Full record

ArticleNatural hazards (Dordrecht, Netherlands)2022

The anatomy of natural disasters on online media: hurricanes and wildfires.

Nicole Olynk Widmar, Kendra Rash, Courtney Bir, Benjamin Bir, Jinho Jung

Abstract read
In one paragraph

Article in Natural hazards (Dordrecht, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nicole Olynk WidmarDepartment of Agricultural Economics, College of Agriculture, Purdue University, 403 West State Street, West Lafayette, IN 47907 USA.
Kendra RashDepartment of Agricultural Economics, College of Agriculture, Purdue University, 403 West State Street, West Lafayette, IN 47907 USA.
Courtney BirDepartment of Agricultural Economics, Ferguson College of Agriculture, Oklahoma State University, 529 Agricultural Hall, Stillwater, OK 74078-6026 USA.ORCID 0000-0003-0862-8241
Benjamin BirStillwater, USA.
Jinho JungDepartment of Agricultural Economics, College of Agriculture, Purdue University, 403 West State Street, West Lafayette, IN 47907 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing prevalence and scale of natural disasters fuel the need for new approaches to evaluating, and eventually mitigating, their impact. This analysis quantifies and compares online and social media attention to hurricanes and wildfires over time and geographic space. Hurricanes studied included: Michael, Maria, Irma, Harvey, and Florence. Fires studied included: Woolsey, Mendocino, Carr, and Camp. It was hypothesized that total volume of online media content, measured in posts and mentions, varied measurably over the phases of the disasters. Furthermore, it was hypothesized that the anatomy of the disaster, specifically the number and timing/dates, of posts and mentions varied inside versus outside impacted zones/geographies. Social media content, in sheer volume, related to hurricanes was larger than that devoted to fires. A mismatch between the time periods that people post about natural disasters on social media and the times when aid is needed to rebuild was found. Mentions fell rapidly after landfall for hurricanes, and long before fires were officially contained or extinguished. This rapid fall in media attention may leave directly impacted populations without help and support during the rebuilding process. Greater understanding of volume of posts over time, or the anatomy of disasters in online media space, may help government agencies, private industry, and relief organizations understand public attentiveness before, during, and after various types of natural disasters.

Indexed as

Data analyticsHurricaneRisk mitigationSocial media analyticsWildfire

Identifiers

PMID34462620
PMCPMC8387670

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.