Factors influencing retweeting of local news media tweets during Hurricane Irma

Cole Vaughn (), Kathleen Sherman-Morris and Philip Poe
Additional contact information
Cole Vaughn: Mississippi State University
Kathleen Sherman-Morris: Mississippi State University
Philip Poe: Mississippi State University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 119, issue 1, No 23, 583-611

Abstract: Abstract How individuals trust or relate to local broadcast news personalities can help explain how they respond to hazardous weather events. Local media often share weather information on twitter, but research on the way audiences interact or engage with local media via twitter during hurricanes is limited. No research has compared engagement with local weathercasts on Twitter both before and during a hurricane, although engagement before an event may have an influence on engagement during an event. This article examines the evolution and interrelation of the content, timing, and engagement of tweets from local news media Twitter accounts downloaded from the Social Media Tracking and Analysis System at Mississippi State University during the approach, landfall, and dissipation of Hurricane Irma. Retweets were used as the engagement metric in this study. Tweets related to the hurricane showed an overall higher retweet rate, though this result was not universal. The tweets with the greatest retweet rate occurred once the studied location was within the cone of uncertainty but before impacts from Irma arrived. The news accounts run by news stations in larger markets were the main drivers of retweet engagement and tweet frequency fluctuation. The personal Twitter accounts of broadcast meteorologists at local news stations were analyzed for tweets about their personal life a few months prior to Irma’s impact. The accounts with relatively small follower counts showed a weak positive correlation between posting personal content and increased retweet rates in Irma. Those with larger follower counts showed a weak negative correlation between the variables. Results may help local news media make decisions regarding which accounts are likely to reach the greatest number of individuals during a hurricane.

Keywords: Social media; Hurricane Irma; Content analysis; Retweets (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-023-06140-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:119:y:2023:i:1:d:10.1007_s11069-023-06140-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-023-06140-5

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().