ArticleHeliyon2020
Using Twitter for crisis communications in a natural disaster: Hurricane Harvey.
Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 43 citations in OpenAlex.
- Cryptocurrency Turmoil: Unraveling the Collapse of a Unified Stablecoin (USTC) through Twitter as a Passive Sensor.Sensors (Basel, Switzerland) · 2024Article
- Article
- Implementation of the Admission Process of Patients Under the Public Crisis Situation of COVID-19 Pandemic: A Real-World Case Study.Journal of multidisciplinary healthcare · 2023Article
- Perceptions, knowledge, and communication preferences about indoor mold and its health implications among persons affected by Hurricane Harvey: a focus group analysis.BMC public health · 2022Article
- Engaging social media users with attitudinal messages during health crisis communication.Lingua. International review of general linguistics. Revue internationale de linguistique generale · 2022Article
- Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM.Data science and engineering · 2021Article
- Advancing trauma care through social media.Trauma surgery & acute care open · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article examines the use of social media, specifically Twitter, in crisis communications during a natural disaster and how it can provide information, guidance, reassurance and hope to victims while keeping others across the nation and the world apprised of the situation so they can provide assistance, as needed. A case study looks at how the mayor of Houston, Texas, Sylvester Turner, used Twitter during Hurricane Harvey in August and September of 2017. The case study is analyzed using restorative rhetoric theory, revealing the use of Twitter by Mayor Turner to be a strong example of successful restorative rhetoric during a natural disaster. This research affirms the findings of other researchers that the restorative rhetoric stages overlap, and that the theory may be improved with some variation based on crisis type. This research also shows that Mayor Turner's use of Twitter exemplifies best practices for using social media in crisis communications with very few opportunities for improvement. This article offers suggestions to crisis managers on how to use Twitter to prepare for, communicate during, and go forward following a natural disaster.
Indexed as
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What OpenQuestion holds
Registered trials
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.