291
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Analyzing Twitter communication about heavy precipitation events to improve future risk communication and disaster reduction in Germany

ORCID Icon, &
Pages 310-319 | Received 14 Jul 2020, Accepted 15 Jan 2021, Published online: 03 Feb 2021
 

ABSTRACT

In many parts of Europe, heavy precipitation events are expected to increase in frequency and intensity. Since the current state of pluvial flood protection is low, there is a need to increase public risk perception and to encourage mitigation behavior. Doing this is the goal of risk communication, which is increasingly taking place via social media. In order to assess the importance/potential of social media for risk communication in relation to heavy precipitation events, this study aims to analyze the current status quo by time series-, network- and content analysis. The current risk communication fluctuates over time; therefore, a more continuous communication is required. Warnings, originating from established stakeholders were the most common type of messages; therefore, these stakeholders are especially important for risk communication. As there is a lack of information about protective measures and behavioral recommendations on social media, a more powerful dissemination of this information is needed.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was performed within the Forschungskolleg FUTURE WATER and funded by the Ministry of Culture and Science of North Rhine-Westphalia. FUTURE WATER is coordinated by the ‘Zentrum für Wasser- und Umweltforschung’ (ZWU) at the University of Duisburg-Essen.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 239.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.