Sensing climate change and energy issues: Sentiment and emotion analysis with social media in the U.K. and Spain
In this paper we assess the sentiments and emotions related to climate change in the U.K. and Spain during the first six months of 2019, and how these relate to different preferences and concerns about energy policies. In doing so, we analyze Twitter messages related to climate change occurring in b...
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Veröffentlicht in: | Energy policy 2020-08, Vol.143, p.111490, Article 111490 |
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description | In this paper we assess the sentiments and emotions related to climate change in the U.K. and Spain during the first six months of 2019, and how these relate to different preferences and concerns about energy policies. In doing so, we analyze Twitter messages related to climate change occurring in both countries, using natural language processing (NLP) tools. We find that messages in the U.K. related to climate change are less negative than in Spain; whereas the most evoked feeling in the U.K. (Spain) is anticipation (fear). However, our results show quite similar views about preferences for energy policies in these two Western European countries. In particular, renewable sources of energy are associated with positive perceptions, and coal with negative; whereas heteregoneous preferences are present in the case of nuclear energy. Information of this type may be relevant in order to understand public reactions and preferences towards mitigation and adaptation policies across countries. Our results complement and correspond quite well with those previously published in European surveys. We advocate the use of social media in order to assess sentiment and emotion analysis in close to real time events or manifestation of opinions, not properly covered by official statistics.
•Social media provides relevant information in terms of opinions/preferences in real time.•Twitter messages related to climate change and energy have been analyzed in Spain and the U.K.•Results show that conversations towards climate change are more negative in Spain than in the U.K.•Results show that renewable energies are perceived as very positive in both countries.•Overall findings extracted from Twitter messages correspond quite well with official statistics. |
doi_str_mv | 10.1016/j.enpol.2020.111490 |
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•Social media provides relevant information in terms of opinions/preferences in real time.•Twitter messages related to climate change and energy have been analyzed in Spain and the U.K.•Results show that conversations towards climate change are more negative in Spain than in the U.K.•Results show that renewable energies are perceived as very positive in both countries.•Overall findings extracted from Twitter messages correspond quite well with official statistics.</description><identifier>ISSN: 0301-4215</identifier><identifier>EISSN: 1873-6777</identifier><identifier>DOI: 10.1016/j.enpol.2020.111490</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Attitudes ; Change agents ; Climate change ; Coal ; Digital media ; Emotions ; Energy policies ; Energy policy ; Energy sources ; Mass media ; Messages ; Mitigation ; Natural language processing ; Nuclear energy ; Nuclear engineering ; Nuclear reactors ; Sentiment analysis ; Social media ; Social networks ; Statistical analysis ; Statistics ; Twitter</subject><ispartof>Energy policy, 2020-08, Vol.143, p.111490, Article 111490</ispartof><rights>2020</rights><rights>Copyright Elsevier Science Ltd. Aug 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-d992b66857361bd3e6a154ba70b5b57d8384abc4c696fa0afbccc20c3fb785793</citedby><cites>FETCH-LOGICAL-c364t-d992b66857361bd3e6a154ba70b5b57d8384abc4c696fa0afbccc20c3fb785793</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0301421520302366$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27843,27901,27902,65534</link.rule.ids></links><search><creatorcontrib>Loureiro, Maria L.</creatorcontrib><creatorcontrib>Alló, Maria</creatorcontrib><title>Sensing climate change and energy issues: Sentiment and emotion analysis with social media in the U.K. and Spain</title><title>Energy policy</title><description>In this paper we assess the sentiments and emotions related to climate change in the U.K. and Spain during the first six months of 2019, and how these relate to different preferences and concerns about energy policies. In doing so, we analyze Twitter messages related to climate change occurring in both countries, using natural language processing (NLP) tools. We find that messages in the U.K. related to climate change are less negative than in Spain; whereas the most evoked feeling in the U.K. (Spain) is anticipation (fear). However, our results show quite similar views about preferences for energy policies in these two Western European countries. In particular, renewable sources of energy are associated with positive perceptions, and coal with negative; whereas heteregoneous preferences are present in the case of nuclear energy. Information of this type may be relevant in order to understand public reactions and preferences towards mitigation and adaptation policies across countries. Our results complement and correspond quite well with those previously published in European surveys. We advocate the use of social media in order to assess sentiment and emotion analysis in close to real time events or manifestation of opinions, not properly covered by official statistics.
•Social media provides relevant information in terms of opinions/preferences in real time.•Twitter messages related to climate change and energy have been analyzed in Spain and the U.K.•Results show that conversations towards climate change are more negative in Spain than in the U.K.•Results show that renewable energies are perceived as very positive in both countries.•Overall findings extracted from Twitter messages correspond quite well with official statistics.</description><subject>Attitudes</subject><subject>Change agents</subject><subject>Climate change</subject><subject>Coal</subject><subject>Digital media</subject><subject>Emotions</subject><subject>Energy policies</subject><subject>Energy policy</subject><subject>Energy sources</subject><subject>Mass media</subject><subject>Messages</subject><subject>Mitigation</subject><subject>Natural language processing</subject><subject>Nuclear energy</subject><subject>Nuclear engineering</subject><subject>Nuclear reactors</subject><subject>Sentiment analysis</subject><subject>Social media</subject><subject>Social networks</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Twitter</subject><issn>0301-4215</issn><issn>1873-6777</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp9kE9PwyAYh4nRxDn9BF5IPLdCodCaeDCL_-ISD3NnQindaDqogJp9e9nq2QsQ-D0v7_sAcI1RjhFmt32u7eiGvEBFusGY1ugEzHDFScY456dghgjCGS1weQ4uQugRQrSq6QyMK22DsRuoBrOTUUO1lXajobQt1Fb7zR6aEL50uIMpGc0uLdPjzkXjbDrLYR9MgD8mbmFwysgB7nRrJDQWxq2G6_wtPyKrURp7Cc46OQR99bfPwfrp8WPxki3fn18XD8tMEUZj1tZ10TBWlZww3LREM4lL2kiOmrIpeVuRispGUcVq1kkku0YpVSBFuoYnqCZzcDPVHb37TP1H0bsvn5oNoqA0_UF4eUiRKaW8C8HrTow-efB7gZE4qBW9OKoVB7ViUpuo-4nSaYBvo70Iymir0tReqyhaZ_7lfwHIdYNL</recordid><startdate>202008</startdate><enddate>202008</enddate><creator>Loureiro, Maria L.</creator><creator>Alló, Maria</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TA</scope><scope>7TB</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>F28</scope><scope>FQK</scope><scope>FR3</scope><scope>H8D</scope><scope>JBE</scope><scope>JG9</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>202008</creationdate><title>Sensing climate change and energy issues: Sentiment and emotion analysis with social media in the U.K. and Spain</title><author>Loureiro, Maria L. ; Alló, Maria</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-d992b66857361bd3e6a154ba70b5b57d8384abc4c696fa0afbccc20c3fb785793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Attitudes</topic><topic>Change agents</topic><topic>Climate change</topic><topic>Coal</topic><topic>Digital media</topic><topic>Emotions</topic><topic>Energy policies</topic><topic>Energy policy</topic><topic>Energy sources</topic><topic>Mass media</topic><topic>Messages</topic><topic>Mitigation</topic><topic>Natural language processing</topic><topic>Nuclear energy</topic><topic>Nuclear engineering</topic><topic>Nuclear reactors</topic><topic>Sentiment analysis</topic><topic>Social media</topic><topic>Social networks</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Twitter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Loureiro, Maria L.</creatorcontrib><creatorcontrib>Alló, Maria</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Energy policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Loureiro, Maria L.</au><au>Alló, Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensing climate change and energy issues: Sentiment and emotion analysis with social media in the U.K. and Spain</atitle><jtitle>Energy policy</jtitle><date>2020-08</date><risdate>2020</risdate><volume>143</volume><spage>111490</spage><pages>111490-</pages><artnum>111490</artnum><issn>0301-4215</issn><eissn>1873-6777</eissn><abstract>In this paper we assess the sentiments and emotions related to climate change in the U.K. and Spain during the first six months of 2019, and how these relate to different preferences and concerns about energy policies. In doing so, we analyze Twitter messages related to climate change occurring in both countries, using natural language processing (NLP) tools. We find that messages in the U.K. related to climate change are less negative than in Spain; whereas the most evoked feeling in the U.K. (Spain) is anticipation (fear). However, our results show quite similar views about preferences for energy policies in these two Western European countries. In particular, renewable sources of energy are associated with positive perceptions, and coal with negative; whereas heteregoneous preferences are present in the case of nuclear energy. Information of this type may be relevant in order to understand public reactions and preferences towards mitigation and adaptation policies across countries. Our results complement and correspond quite well with those previously published in European surveys. We advocate the use of social media in order to assess sentiment and emotion analysis in close to real time events or manifestation of opinions, not properly covered by official statistics.
•Social media provides relevant information in terms of opinions/preferences in real time.•Twitter messages related to climate change and energy have been analyzed in Spain and the U.K.•Results show that conversations towards climate change are more negative in Spain than in the U.K.•Results show that renewable energies are perceived as very positive in both countries.•Overall findings extracted from Twitter messages correspond quite well with official statistics.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enpol.2020.111490</doi></addata></record> |
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subjects | Attitudes Change agents Climate change Coal Digital media Emotions Energy policies Energy policy Energy sources Mass media Messages Mitigation Natural language processing Nuclear energy Nuclear engineering Nuclear reactors Sentiment analysis Social media Social networks Statistical analysis Statistics |
title | Sensing climate change and energy issues: Sentiment and emotion analysis with social media in the U.K. and Spain |
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