Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.

In September 2017, Hurricane Maria made landfall across the Caribbean region as a category 4 storm. In the aftermath, many residents of Puerto Rico were without power or clean running water for nearly a year. Using both English and Spanish tweets from September 16 to October 15 2017, we investigate...

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Autores principales:	Benjamin Freixas Emery, Meredith T Niles, Christopher M Danforth, Peter Sheridan Dodds
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5ff73775ba084630b0abd5fc3913e8e6
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spelling	oai:doaj.org-article:5ff73775ba084630b0abd5fc3913e8e62021-12-02T20:10:56ZLocal information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.1932-620310.1371/journal.pone.0251704https://doaj.org/article/5ff73775ba084630b0abd5fc3913e8e62021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251704https://doaj.org/toc/1932-6203In September 2017, Hurricane Maria made landfall across the Caribbean region as a category 4 storm. In the aftermath, many residents of Puerto Rico were without power or clean running water for nearly a year. Using both English and Spanish tweets from September 16 to October 15 2017, we investigate discussion of Maria both on and off the island, constructing a proxy for the temporal network of communication between victims of the hurricane and others. We use information theoretic tools to compare the lexical divergence of different subgroups within the network. Lastly, we quantify temporal changes in user prominence throughout the event. We find at the global level that Spanish tweets more often contained messages of hope and a focus on those helping. At the local level, we find that information propagating among Puerto Ricans most often originated from sources local to the island, such as journalists and politicians. Critically, content from these accounts overshadows content from celebrities, global news networks, and the like for the large majority of the time period studied. Our findings reveal insight into ways social media campaigns could be deployed to disseminate relief information during similar events in the future.Benjamin Freixas EmeryMeredith T NilesChristopher M DanforthPeter Sheridan DoddsPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0251704 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Benjamin Freixas Emery Meredith T Niles Christopher M Danforth Peter Sheridan Dodds Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.
description	In September 2017, Hurricane Maria made landfall across the Caribbean region as a category 4 storm. In the aftermath, many residents of Puerto Rico were without power or clean running water for nearly a year. Using both English and Spanish tweets from September 16 to October 15 2017, we investigate discussion of Maria both on and off the island, constructing a proxy for the temporal network of communication between victims of the hurricane and others. We use information theoretic tools to compare the lexical divergence of different subgroups within the network. Lastly, we quantify temporal changes in user prominence throughout the event. We find at the global level that Spanish tweets more often contained messages of hope and a focus on those helping. At the local level, we find that information propagating among Puerto Ricans most often originated from sources local to the island, such as journalists and politicians. Critically, content from these accounts overshadows content from celebrities, global news networks, and the like for the large majority of the time period studied. Our findings reveal insight into ways social media campaigns could be deployed to disseminate relief information during similar events in the future.
format	article
author	Benjamin Freixas Emery Meredith T Niles Christopher M Danforth Peter Sheridan Dodds
author_facet	Benjamin Freixas Emery Meredith T Niles Christopher M Danforth Peter Sheridan Dodds
author_sort	Benjamin Freixas Emery
title	Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.
title_short	Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.
title_full	Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.
title_fullStr	Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.
title_full_unstemmed	Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.
title_sort	local information sources received the most attention from puerto ricans during the aftermath of hurricane maria.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/5ff73775ba084630b0abd5fc3913e8e6
work_keys_str_mv	AT benjaminfreixasemery localinformationsourcesreceivedthemostattentionfrompuertoricansduringtheaftermathofhurricanemaria AT meredithtniles localinformationsourcesreceivedthemostattentionfrompuertoricansduringtheaftermathofhurricanemaria AT christophermdanforth localinformationsourcesreceivedthemostattentionfrompuertoricansduringtheaftermathofhurricanemaria AT petersheridandodds localinformationsourcesreceivedthemostattentionfrompuertoricansduringtheaftermathofhurricanemaria
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Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria.

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