Twitter data analysis to assess the interest of citizens on the impact of marine plastic pollution
Few studies have mined social media platforms to assess environmental concerns. In this study, Twitter was scraped to obtain a ~140,000 tweet dataset related specifically to marine plastic pollution. The goal is to understand what kind of users profiles are tweeting and how and when they do it. In a...
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Veröffentlicht in: | Marine pollution bulletin 2021-09, Vol.170, p.112620-112620, Article 112620 |
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description | Few studies have mined social media platforms to assess environmental concerns. In this study, Twitter was scraped to obtain a ~140,000 tweet dataset related specifically to marine plastic pollution. The goal is to understand what kind of users profiles are tweeting and how and when they do it. In addition, topic modelling and graph theory techniques have allowed us to identify main concerns on this topic: i) impact on wildlife, ii) microplastics/water pollution, iii) estimates/reports, iv) legislation/protection, and v) recycling/cleaning initiatives. Results reveal a scarce influence of organizations involved in research and marine environmental awareness, so some guidelines are depicted that could help to adjust their communication plans. This is relevant to engage society through reliable information, change habits and reinforce sustainable behaviour. A visualization tool has been created to analyze the results over time.
[Display omitted]
•Twitter is a valuable tool to analyze the social aspects of marine pollution.•Topic modelling helped to identify 5 main relevant subtopics.•COVID-19 pandemic impacted the marine plastic pollution topic on Twitter.•Low presence of academic or environmental bodies compared to personal opinions•An interactive app is released to facilitate further analysis. |
doi_str_mv | 10.1016/j.marpolbul.2021.112620 |
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[Display omitted]
•Twitter is a valuable tool to analyze the social aspects of marine pollution.•Topic modelling helped to identify 5 main relevant subtopics.•COVID-19 pandemic impacted the marine plastic pollution topic on Twitter.•Low presence of academic or environmental bodies compared to personal opinions•An interactive app is released to facilitate further analysis.</description><identifier>ISSN: 0025-326X</identifier><identifier>EISSN: 1879-3363</identifier><identifier>DOI: 10.1016/j.marpolbul.2021.112620</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Cleaning ; Communication ; COVID-19 ; Data analysis ; Environmental awareness ; Graph theory ; Legislation ; Marine environment ; Marine litter ; Marine pollution ; Microplastics ; Plastic debris ; Plastic pollution ; Social media ; Topic modelling ; Twitter ; Water pollution ; Wildlife ; Work platforms</subject><ispartof>Marine pollution bulletin, 2021-09, Vol.170, p.112620-112620, Article 112620</ispartof><rights>2021</rights><rights>Copyright Elsevier BV Sep 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-99334a091483239295338bbd6e8ad40830502ab16904fc732fa6e7a9ff51a7eb3</citedby><cites>FETCH-LOGICAL-c425t-99334a091483239295338bbd6e8ad40830502ab16904fc732fa6e7a9ff51a7eb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0025326X21006548$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Otero, P.</creatorcontrib><creatorcontrib>Gago, J.</creatorcontrib><creatorcontrib>Quintas, P.</creatorcontrib><title>Twitter data analysis to assess the interest of citizens on the impact of marine plastic pollution</title><title>Marine pollution bulletin</title><description>Few studies have mined social media platforms to assess environmental concerns. In this study, Twitter was scraped to obtain a ~140,000 tweet dataset related specifically to marine plastic pollution. The goal is to understand what kind of users profiles are tweeting and how and when they do it. In addition, topic modelling and graph theory techniques have allowed us to identify main concerns on this topic: i) impact on wildlife, ii) microplastics/water pollution, iii) estimates/reports, iv) legislation/protection, and v) recycling/cleaning initiatives. Results reveal a scarce influence of organizations involved in research and marine environmental awareness, so some guidelines are depicted that could help to adjust their communication plans. This is relevant to engage society through reliable information, change habits and reinforce sustainable behaviour. A visualization tool has been created to analyze the results over time.
[Display omitted]
•Twitter is a valuable tool to analyze the social aspects of marine pollution.•Topic modelling helped to identify 5 main relevant subtopics.•COVID-19 pandemic impacted the marine plastic pollution topic on Twitter.•Low presence of academic or environmental bodies compared to personal opinions•An interactive app is released to facilitate further analysis.</description><subject>Cleaning</subject><subject>Communication</subject><subject>COVID-19</subject><subject>Data analysis</subject><subject>Environmental awareness</subject><subject>Graph theory</subject><subject>Legislation</subject><subject>Marine environment</subject><subject>Marine litter</subject><subject>Marine pollution</subject><subject>Microplastics</subject><subject>Plastic debris</subject><subject>Plastic pollution</subject><subject>Social media</subject><subject>Topic modelling</subject><subject>Twitter</subject><subject>Water pollution</subject><subject>Wildlife</subject><subject>Work platforms</subject><issn>0025-326X</issn><issn>1879-3363</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLxDAUhYMoOI7-BgNu3HTMo02b5TD4ggE3I7gLaXqLGTpNTVJl_PVmrLhw4-peuN-5nHMQuqRkQQkVN9vFTvvBdfXYLRhhdEEpE4wcoRmtSplxLvgxmhHCiowz8XKKzkLYEkJKVtIZqjcfNkbwuNFRY93rbh9swNFhHQKEtL0Ctn0iIETsWmxstJ_QB-z66bYbtPm-JBu2Bzx0OkRrcLLUjdG6_hydtLoLcPEz5-j57nazesjWT_ePq-U6MzkrYiYl57kmkuYVZ1wyWXBe1XUjoNJNTipOCsJ0TYUkeWtKzlotoNSybQuqS6j5HF1Pfwfv3sZkV-1sMNB1ugc3BsWKvCqkpEIk9OoPunWjT-EPlJBCspzmiSonyngXgodWDd6mlHtFiTp0r7bqt3t16F5N3SflclJCyvtuwatgLPQGGuvBRNU4---PL-RVkXU</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Otero, P.</creator><creator>Gago, J.</creator><creator>Quintas, P.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7T7</scope><scope>7TN</scope><scope>7TV</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>202109</creationdate><title>Twitter data analysis to assess the interest of citizens on the impact of marine plastic pollution</title><author>Otero, P. ; Gago, J. ; Quintas, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-99334a091483239295338bbd6e8ad40830502ab16904fc732fa6e7a9ff51a7eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cleaning</topic><topic>Communication</topic><topic>COVID-19</topic><topic>Data analysis</topic><topic>Environmental awareness</topic><topic>Graph theory</topic><topic>Legislation</topic><topic>Marine environment</topic><topic>Marine litter</topic><topic>Marine pollution</topic><topic>Microplastics</topic><topic>Plastic debris</topic><topic>Plastic pollution</topic><topic>Social media</topic><topic>Topic modelling</topic><topic>Twitter</topic><topic>Water pollution</topic><topic>Wildlife</topic><topic>Work platforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Otero, P.</creatorcontrib><creatorcontrib>Gago, J.</creatorcontrib><creatorcontrib>Quintas, P.</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Oceanic Abstracts</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Marine pollution bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Otero, P.</au><au>Gago, J.</au><au>Quintas, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Twitter data analysis to assess the interest of citizens on the impact of marine plastic pollution</atitle><jtitle>Marine pollution bulletin</jtitle><date>2021-09</date><risdate>2021</risdate><volume>170</volume><spage>112620</spage><epage>112620</epage><pages>112620-112620</pages><artnum>112620</artnum><issn>0025-326X</issn><eissn>1879-3363</eissn><abstract>Few studies have mined social media platforms to assess environmental concerns. In this study, Twitter was scraped to obtain a ~140,000 tweet dataset related specifically to marine plastic pollution. The goal is to understand what kind of users profiles are tweeting and how and when they do it. In addition, topic modelling and graph theory techniques have allowed us to identify main concerns on this topic: i) impact on wildlife, ii) microplastics/water pollution, iii) estimates/reports, iv) legislation/protection, and v) recycling/cleaning initiatives. Results reveal a scarce influence of organizations involved in research and marine environmental awareness, so some guidelines are depicted that could help to adjust their communication plans. This is relevant to engage society through reliable information, change habits and reinforce sustainable behaviour. A visualization tool has been created to analyze the results over time.
[Display omitted]
•Twitter is a valuable tool to analyze the social aspects of marine pollution.•Topic modelling helped to identify 5 main relevant subtopics.•COVID-19 pandemic impacted the marine plastic pollution topic on Twitter.•Low presence of academic or environmental bodies compared to personal opinions•An interactive app is released to facilitate further analysis.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.marpolbul.2021.112620</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Cleaning Communication COVID-19 Data analysis Environmental awareness Graph theory Legislation Marine environment Marine litter Marine pollution Microplastics Plastic debris Plastic pollution Social media Topic modelling Water pollution Wildlife Work platforms |
title | Twitter data analysis to assess the interest of citizens on the impact of marine plastic pollution |
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