Aspects of public attention on popular nonindigenous species, as determined by a comprehensive assessment of Japanese social media

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Abstract Invasion culturomics is an emerging field of study that utilizes digital data existing on the Internet to reveal the human dimension of nonindigenous species (NIS) invasions. Although hypothetical approaches have been used to examine explanatory variables that predict the amount of public attention by using proxies, it has been difficult to observe direct associations between these variables. Here, we aimed to deepen our understanding of the relationship between people and NIS by analyzing the content of texts about NIS on social media, and by clarifying the context and aspects to which public attention is directed. Specifically, we quantified tweets about NIS to identify popular NIS that attract a lot of public attention on Twitter. We also identified hidden topics in which NIS names occurred by applying topic modeling to tweets, and we investigated the topic distribution over popular NIS. A relatively small number of species were selected as popular NIS for further analysis, and 25 hidden topics were identified from all the tweets used in the analysis. The topic distribution over popular NIS had three patterns across taxonomic groups: (1) biased among topics but consistent within taxonomic groups; (2) relatively even among topics and consistent within taxonomic groups; and (3) not consistent within taxonomic groups and with biases differing among species. These findings can provide important insights into the formulation of a better strategy for NIS management by approaching the social and human dimensions of NIS invasion; such a strategy would include information dissemination, environmental education, and management campaigns.
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Aspects of public attention on popular nonindigenous species, as determined by a comprehensive assessment of Japanese social media | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Aspects of public attention on popular nonindigenous species, as determined by a comprehensive assessment of Japanese social media Daiki Tomojiri, Kosuke Takaya This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3790755/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Invasion culturomics is an emerging field of study that utilizes digital data existing on the Internet to reveal the human dimension of nonindigenous species (NIS) invasions. Although hypothetical approaches have been used to examine explanatory variables that predict the amount of public attention by using proxies, it has been difficult to observe direct associations between these variables. Here, we aimed to deepen our understanding of the relationship between people and NIS by analyzing the content of texts about NIS on social media, and by clarifying the context and aspects to which public attention is directed. Specifically, we quantified tweets about NIS to identify popular NIS that attract a lot of public attention on Twitter. We also identified hidden topics in which NIS names occurred by applying topic modeling to tweets, and we investigated the topic distribution over popular NIS. A relatively small number of species were selected as popular NIS for further analysis, and 25 hidden topics were identified from all the tweets used in the analysis. The topic distribution over popular NIS had three patterns across taxonomic groups: (1) biased among topics but consistent within taxonomic groups; (2) relatively even among topics and consistent within taxonomic groups; and (3) not consistent within taxonomic groups and with biases differing among species. These findings can provide important insights into the formulation of a better strategy for NIS management by approaching the social and human dimensions of NIS invasion; such a strategy would include information dissemination, environmental education, and management campaigns. Conservation culturomics Biological invasions Nonindigenous species Public attention Social media Topic modeling Full Text Additional Declarations No competing interests reported. Supplementary Files SuppMaterial1.docx SuppMaterial2.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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