Text emotion analysis in aquaculture communication via Twitter: the case of Spain

Public acceptance arises as one of the main defiance in aquaculture. This situation is especially relevant in regions of the global north such as Europe or North America, where social acceptability is conditioning the expansion of this industry production capacity and the development of markets for...

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Autores: Baraibar Diez, Elisa Pilar|||0000-0003-4677-3255, Llorente García, Ignacio|||0000-0001-9426-0601, Odriozola Zamanillo, María Dolores|||0000-0002-6399-6779
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/28879
Acceso en línea:https://hdl.handle.net/10902/28879
Access Level:acceso abierto
Palabra clave:Aquaculture
Social networks
Aquaculture communication
Sentiment analysis
Sentiments
Social acceptability
Twitter
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spelling Text emotion analysis in aquaculture communication via Twitter: the case of SpainBaraibar Diez, Elisa Pilar|||0000-0003-4677-3255Llorente García, Ignacio|||0000-0001-9426-0601Odriozola Zamanillo, María Dolores|||0000-0002-6399-6779AquacultureSocial networksAquaculture communicationSentiment analysisSentimentsSocial acceptabilityTwitterPublic acceptance arises as one of the main defiance in aquaculture. This situation is especially relevant in regions of the global north such as Europe or North America, where social acceptability is conditioning the expansion of this industry production capacity and the development of markets for aquaculture products. Understanding not only consumer perceptions, but also other collectives? insights is the first step to build sectoral strategies that focus and communicate benefits and combat myths, leading to greater social acceptability. Information disseminated through social networks represents a great opportunity to analyze large amounts of information disclosed by involved stakeholders. Unlike most studies focused on consumer perception, this study conducts a sentiment analysis of the communication released on Twitter by different stakeholders related to aquaculture in Spain: producers, specialized media, associations and research centers. The analysis is carried out using the TwitteR package of the R software, which provides direct communication through an Application Programming Interface (API), and its nrc lexicon. Results show significant differences among stakeholders' profiles, showing that trust, negative and positive words are prevalent in the tweets of all stakeholders. This study shows an underutilization of the potential of the social network, and a more effective communication by specialized media profiles. The use that these profiles give to social networks is an example that shows producers and policy makers the benefits that can be derived from a professionalized communication of aquaculture through social networks, not only to consumers but also to society as a whole.ElsevierUniversidad de Cantabria20232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/28879Marine Policy, 2023, 152, 105605reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/288792026-06-02T12:39:31Z
dc.title.none.fl_str_mv Text emotion analysis in aquaculture communication via Twitter: the case of Spain
title Text emotion analysis in aquaculture communication via Twitter: the case of Spain
spellingShingle Text emotion analysis in aquaculture communication via Twitter: the case of Spain
Baraibar Diez, Elisa Pilar|||0000-0003-4677-3255
Aquaculture
Social networks
Aquaculture communication
Sentiment analysis
Sentiments
Social acceptability
Twitter
title_short Text emotion analysis in aquaculture communication via Twitter: the case of Spain
title_full Text emotion analysis in aquaculture communication via Twitter: the case of Spain
title_fullStr Text emotion analysis in aquaculture communication via Twitter: the case of Spain
title_full_unstemmed Text emotion analysis in aquaculture communication via Twitter: the case of Spain
title_sort Text emotion analysis in aquaculture communication via Twitter: the case of Spain
dc.creator.none.fl_str_mv Baraibar Diez, Elisa Pilar|||0000-0003-4677-3255
Llorente García, Ignacio|||0000-0001-9426-0601
Odriozola Zamanillo, María Dolores|||0000-0002-6399-6779
author Baraibar Diez, Elisa Pilar|||0000-0003-4677-3255
author_facet Baraibar Diez, Elisa Pilar|||0000-0003-4677-3255
Llorente García, Ignacio|||0000-0001-9426-0601
Odriozola Zamanillo, María Dolores|||0000-0002-6399-6779
author_role author
author2 Llorente García, Ignacio|||0000-0001-9426-0601
Odriozola Zamanillo, María Dolores|||0000-0002-6399-6779
author2_role author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Aquaculture
Social networks
Aquaculture communication
Sentiment analysis
Sentiments
Social acceptability
Twitter
topic Aquaculture
Social networks
Aquaculture communication
Sentiment analysis
Sentiments
Social acceptability
Twitter
description Public acceptance arises as one of the main defiance in aquaculture. This situation is especially relevant in regions of the global north such as Europe or North America, where social acceptability is conditioning the expansion of this industry production capacity and the development of markets for aquaculture products. Understanding not only consumer perceptions, but also other collectives? insights is the first step to build sectoral strategies that focus and communicate benefits and combat myths, leading to greater social acceptability. Information disseminated through social networks represents a great opportunity to analyze large amounts of information disclosed by involved stakeholders. Unlike most studies focused on consumer perception, this study conducts a sentiment analysis of the communication released on Twitter by different stakeholders related to aquaculture in Spain: producers, specialized media, associations and research centers. The analysis is carried out using the TwitteR package of the R software, which provides direct communication through an Application Programming Interface (API), and its nrc lexicon. Results show significant differences among stakeholders' profiles, showing that trust, negative and positive words are prevalent in the tweets of all stakeholders. This study shows an underutilization of the potential of the social network, and a more effective communication by specialized media profiles. The use that these profiles give to social networks is an example that shows producers and policy makers the benefits that can be derived from a professionalized communication of aquaculture through social networks, not only to consumers but also to society as a whole.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/28879
url https://hdl.handle.net/10902/28879
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Marine Policy, 2023, 152, 105605
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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