Dataset Information

Hurricanes and hashtags: Characterizing online collective attention for natural disasters.

ABSTRACT: We study collective attention paid towards hurricanes through the lens of n-grams on Twitter, a social media platform with global reach. Using hurricane name mentions as a proxy for awareness, we find that the exogenous temporal dynamics are remarkably similar across storms, but that overall collective attention varies widely even among storms causing comparable deaths and damage. We construct 'hurricane attention maps' and observe that hurricanes causing deaths on (or economic damage to) the continental United States generate substantially more attention in English language tweets than those that do not. We find that a hurricane's Saffir-Simpson wind scale category assignment is strongly associated with the amount of attention it receives. Higher category storms receive higher proportional increases of attention per proportional increases in number of deaths or dollars of damage, than lower category storms. The most damaging and deadly storms of the 2010s, Hurricanes Harvey and Maria, generated the most attention and were remembered the longest, respectively. On average, a category 5 storm receives 4.6 times more attention than a category 1 storm causing the same number of deaths and economic damage.

SUBMITTER: Arnold MV

PROVIDER: S-EPMC8153433 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Hurricanes and hashtags: Characterizing online collective attention for natural disasters.

Arnold Michael V MV Dewhurst David Rushing DR Alshaabi Thayer T Minot Joshua R JR Adams Jane L JL Danforth Christopher M CM Dodds Peter Sheridan PS

PloS one 20210526 5

We study collective attention paid towards hurricanes through the lens of n-grams on Twitter, a social media platform with global reach. Using hurricane name mentions as a proxy for awareness, we find that the exogenous temporal dynamics are remarkably similar across storms, but that overall collective attention varies widely even among storms causing comparable deaths and damage. We construct 'hurricane attention maps' and observe that hurricanes causing deaths on (or economic damage to) the co ...[more]

PMID: 34038454

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Project description:BackgroundAlthough past research has focused on COVID-19-related frames in the news media, such research may not accurately capture and represent the perspectives of people from diverse backgrounds. Additionally, research on the public attention to COVID-19 as reflected through frames on social media is scarce.ObjectiveThis study identified the frames about the COVID-19 pandemic in the public discourse on Twitter, which voices diverse opinions. This study also investigated the amount of public attention to those frames on Twitter.MethodsWe collected 22 trending hashtags related to COVID-19 in the United States and 694,582 tweets written in English containing these hashtags in March 2020 and analyzed them via thematic analysis. Public attention to these frames was measured by evaluating the amount of public engagement with frames and public adoption of those frames.ResultsWe identified 9 frames including "public health guidelines," "quarantine life," "solidarity," "evidence and facts," "call for action," "politics," "post-pandemic life," "shortage panic," and "conflict." Results showed that some frames such as "call for action" are more appealing than others during a global pandemic, receiving greater public adoption and engagement. The "call for action" frame had the highest engagement score, followed by "conflict" and "evidence and facts." Additionally, "post-pandemic life" had the highest adoption score, followed by "call for action" and "shortage panic." The findings indicated that the frequency of a frame on social media does not necessarily mean greater public adoption of or engagement with the frame.ConclusionsThis study contributes to framing theory and research by demonstrating how trending hashtags can be used as new user-generated data to identify frames on social media. This study concludes that the identified frames such as "quarantine life" and "conflict" and themes such as "isolation" and "toilet paper panic" represent the consequences of the COVID-19 pandemic. The consequences could be (1) exclusively related to COVID-19, such as hand hygiene or isolation; (2) related to any health crisis such as social support of vulnerable groups; and (3) generic that are irrespective of COVID-19, such as homeschooling or remote working.

Dataset Information

Hurricanes and hashtags: Characterizing online collective attention for natural disasters.

Publications

Hurricanes and hashtags: Characterizing online collective attention for natural disasters.

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