Impact of Dual-Polarization Radar Technology and Twitter on the Hattiesburg, Mississippi Tornado

Cates, Alexis L.; Arnold, Brent W.; Cooper, Guy Paul; Yeager, Violet; Stake, Josh; Ali, Mohammed R.; Calderone, Richard C.; Wilkinson, James; Hsu, Edbert B.; Parrillo, Steven J.; Piper, Steven; Subbarao, Italo

doi:10.1017/dmp.2013.113

Cited by 15 publications

(8 citation statements)

References 5 publications

(9 reference statements)

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“…While the potential effects and the efficacy of social media have been studied in relation to earthquake detection (Earle, Bowden, and Guy, 2011), tsunami warnings (Chatfield, Scholl, and Brajawidagda, 2013), wildfire danger (Kent and Capello, 2013), and Hurricane Sandy of October 2012 (Lachlan, Spence, and Lin, 2014), no previously published research has investigated the use of Facebook and Twitter before and after a tornado. Cates et al (2013) is believed to be the only example of work involving social media and tornadoes. They found doi:10.1111/disa.12192 that Twitter and dual-polarisation radar reduced injuries in the 2013 Hattiesburg, Mississippi tornado.…”

Section: Introductionmentioning

confidence: 99%

Facebook and Twitter, communication and shelter, and the 2011 Tuscaloosa tornado

Stokes

Senkbeil

2016

Disasters

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This paper represents one of the first attempts to analyse the many ways in which Facebook and Twitter were used during a tornado disaster. Comparisons between five randomly selected campus samples and a city of Tuscaloosa, Alabama, sample revealed that campus samples used Facebook and Twitter significantly more both before and after the tornado, but Facebook usage was not significantly different after the event. Furthermore, differences in social media usage and other forms of communication before the tornado were found for age, education, and years lived in Tuscaloosa. Generally, age and education were inversely proportionate to social media usage. Influences on shelter-seeking actions varied between social media users and three random samples of non-social media users; however, it appears that social media respondents were likely to be using a smartphone simultaneously to access warning polygon information, to receive text message alerts, and to listen or respond to environmental cues.

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Section: Introductionmentioning

confidence: 99%

Facebook and Twitter, communication and shelter, and the 2011 Tuscaloosa tornado

Stokes

Senkbeil

2016

Disasters

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“…Tweets were extracted from the Twitter database through an authorized Twitter data reseller, GNIP, using filters, and PowerTrack rules that were defined by an 11 day window, February 5, 2013 5:00 pm to February 15, 2013 5:00 pm based at the date and time of the Hattiesburg Tornado February 10, 2013 5:00 pm ( Figure 1 ). 4 The PowerTrack rules were based on a set of criteria that included state and local biographical locations, disaster and relief hashtags and keywords, local news media sources, and statewide GPS coordinates. 5 , 6…”

Section: Methodsmentioning

confidence: 99%

Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado

et al. 2015

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Background: This article describes a novel triangulation methodological approach for identifying twitter activity of regional active twitter users during the 2013 Hattiesburg EF-4 Tornado.Methodology: A data extraction and geographically centered filtration approach was utilized to generate Twitter data for 48 hrs pre- and post-Tornado. The data was further validated using six sigma approach utilizing GPS data. Results: The regional analysis revealed a total of 81,441 tweets, 10,646 Twitter users, 27,309 retweets and 2637 tweets with GPS coordinates.Conclusions: Twitter tweet activity increased 5 fold during the response to the Hattiesburg Tornado. Retweeting activity increased 2.2 fold. Tweets with a hashtag increased 1.4 fold. Twitter was an effective disaster risk reduction tool for the Hattiesburg EF-4 Tornado 2013.

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“…One area of emphasis within this body of research is the temporal and geospatial patterns in hazard-related Twitter data and their covariation with other factors, such as National Weather Service watches and warnings or economic damages (Lachlan et al 2014a;Ripberger et al 2014;Shelton et al 2014;Kryvasheyeu et al 2016). Scholars also have studied Twitter activity by public safety organizations and news media, including their tweet content and citizen engagement (Cates et al 2013;Hughes and Palen 2014;Lachlan et al 2014b;St. Denis et al 2014;Sutton et al 2015;Rice and Spence 2016).…”

Section: Background and Study Scopementioning

confidence: 99%

“Sometimes da #beachlife ain't always da wave”: Understanding People’s Evolving Hurricane Risk Communication, Risk Assessments, and Responses Using Twitter Narratives

Demuth

Morss

Palen

et al. 2018

Weather, Climate, and Society

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This article investigates the dynamic ways that people communicate, assess, and respond as a weather threat evolves. It uses social media data, which offer unique records of what people convey about their real-world risk contexts. Twitter narratives from 53 people who were in a mandatory evacuation zone in a New York City neighborhood during Hurricane Sandy in 2012 were qualitatively analyzed. The study provides rich insight into the complex, dynamic information behaviors and risk assessments of people at risk, and it illustrates how social media data can be collected, sampled, and analyzed to help provide this understanding. Results show that this sample of people at significant risk attended to forecast information and evacuation orders as well as multiple types of social and environmental cues. Although many tweeted explicitly about the mandatory evacuation order, forecast information was usually referenced only implicitly. Social and environmental cues grew more important as the threat approached and often triggered heightened risk perceptions or protective actions. The results also reveal the importance of different aspects of people’s cognitive and affective risk perceptions as well as specific emotions (e.g., fear, anger) for understanding risk assessments. People discussed a variety of preparatory and protective behavioral responses and exhibited multiple types of coping responses (e.g., humor) as the threat evolved. People’s risk assessments and responses were closely intertwined, and their risk perceptions were not continuously elevated as the hurricane approached; they exhibited different ways of interpreting, coping, and responding as they accessed and processed evolving information about the threat.

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Impact of Dual-Polarization Radar Technology and Twitter on the Hattiesburg, Mississippi Tornado

Cited by 15 publications

References 5 publications

Facebook and Twitter, communication and shelter, and the 2011 Tuscaloosa tornado

Facebook and Twitter, communication and shelter, and the 2011 Tuscaloosa tornado

Twitter as a Potential Disaster Risk Reduction Tool. Part II: Descriptive Analysis of Identified Twitter Activity during the 2013 Hattiesburg F4 Tornado

“Sometimes da #beachlife ain't always da wave”: Understanding People’s Evolving Hurricane Risk Communication, Risk Assessments, and Responses Using Twitter Narratives

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