Exploring public perceptions of renewable energy: Evidence from a word network model in social network services
Given the energy-related accidents and issues in our society, public perceptions of specific energy technologies are a fundamental concern while formulating local and national energy plans. As an approach toward addressing these perceptions, the current study was aimed at collecting user-created con...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jisu Kim [verfasserIn] Dahye Jeong [verfasserIn] Daejin Choi [verfasserIn] Eunil Park [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Energy Strategy Reviews - Elsevier, 2019, 32(2020), Seite 100552- |
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| Übergeordnetes Werk: |
volume:32 ; year:2020 ; pages:100552- |
| Links: |
|---|
| DOI / URN: |
10.1016/j.esr.2020.100552 |
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Given the energy-related accidents and issues in our society, public perceptions of specific energy technologies are a fundamental concern while formulating local and national energy plans. As an approach toward addressing these perceptions, the current study was aimed at collecting user-created contents on renewable energy in a topic-based social network service. A word network model in social network services (SNS) was proposed, and a network analysis was conducted for examining the public perceptions of renewable energy resources. The results obtained indicated that the word network model in SNSs and the employed approaches can extract both frequently mentioned and latent issues pertaining to renewable energy. In addition, they are useful for observing public perspectives toward renewable energy. Based on the results, the implications as well as the limitations of the approach are discussed. |
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Given the energy-related accidents and issues in our society, public perceptions of specific energy technologies are a fundamental concern while formulating local and national energy plans. As an approach toward addressing these perceptions, the current study was aimed at collecting user-created contents on renewable energy in a topic-based social network service. A word network model in social network services (SNS) was proposed, and a network analysis was conducted for examining the public perceptions of renewable energy resources. The results obtained indicated that the word network model in SNSs and the employed approaches can extract both frequently mentioned and latent issues pertaining to renewable energy. In addition, they are useful for observing public perspectives toward renewable energy. Based on the results, the implications as well as the limitations of the approach are discussed. |
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Given the energy-related accidents and issues in our society, public perceptions of specific energy technologies are a fundamental concern while formulating local and national energy plans. As an approach toward addressing these perceptions, the current study was aimed at collecting user-created contents on renewable energy in a topic-based social network service. A word network model in social network services (SNS) was proposed, and a network analysis was conducted for examining the public perceptions of renewable energy resources. The results obtained indicated that the word network model in SNSs and the employed approaches can extract both frequently mentioned and latent issues pertaining to renewable energy. In addition, they are useful for observing public perspectives toward renewable energy. Based on the results, the implications as well as the limitations of the approach are discussed. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ015958957</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310080124.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.esr.2020.100552</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ015958957</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ90d945dd4d25413991b242b761047d0e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">HD9502-9502.5</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Jisu Kim</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Exploring public perceptions of renewable energy: Evidence from a word network model in social network services</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Given the energy-related accidents and issues in our society, public perceptions of specific energy technologies are a fundamental concern while formulating local and national energy plans. As an approach toward addressing these perceptions, the current study was aimed at collecting user-created contents on renewable energy in a topic-based social network service. A word network model in social network services (SNS) was proposed, and a network analysis was conducted for examining the public perceptions of renewable energy resources. The results obtained indicated that the word network model in SNSs and the employed approaches can extract both frequently mentioned and latent issues pertaining to renewable energy. In addition, they are useful for observing public perspectives toward renewable energy. Based on the results, the implications as well as the limitations of the approach are discussed.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Renewable energy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Public perceptions</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Closeness centrality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Betweenness centrality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reddit</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Energy industries. Energy policy. Fuel trade</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Dahye Jeong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Daejin Choi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Eunil Park</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Energy Strategy Reviews</subfield><subfield code="d">Elsevier, 2019</subfield><subfield code="g">32(2020), Seite 100552-</subfield><subfield code="w">(DE-627)1760627666</subfield><subfield code="x">22114688</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:32</subfield><subfield code="g">year:2020</subfield><subfield code="g">pages:100552-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.esr.2020.100552</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/90d945dd4d25413991b242b761047d0e</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S2211467X2030105X</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2211-467X</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">32</subfield><subfield code="j">2020</subfield><subfield code="h">100552-</subfield></datafield></record></collection>
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