Analysis of green deal communication on twitter: environmental and political perspective

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A99922" target="_blank" >RIV/60460709:41110/24:99922 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3389/fenvs.2024.1370568" target="_blank" >https://doi.org/10.3389/fenvs.2024.1370568</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fenvs.2024.1370568" target="_blank" >10.3389/fenvs.2024.1370568</a>

Result language

angličtina

Original language name

Analysis of green deal communication on twitter: environmental and political perspective

Original language description

The Green Deal and its implementation are generating discussions across society. Changes brought about by the agreement could impact sustainable development worldwide; therefore, identifying the most common Green Deal-related topics on a global scale can offer insight into the public mood around implementation of the agreement. Social networks provide the opportunity to find such topics because they contain a large amount of data produced by users worldwide: analysis of their content can therefore provide insight into the discourse on the Green Deal and identify the sentiment in discussions around this topic. In this article, we present perceptions of the Green Deal and identify the main Green Deal-related topics based on analysis of communication on the Twitter social network (currently X social network). Using the search terms "green deal," "greendeal," and "#greendeal," 192,567 tweets from 89,328 unique users were captured between 1 January 2019 and 31 March 2023. We identified the 40 most used unique hashtags that people used when communicating about the Green Deal, which included "#EU," "#eugreendeal," and "#climatechange," and the 16 most relevant topics discussed in relation to the Green Deal, which included both European ("European Green Deal") and North American ("Green New Deal") perspectives. Each topic was associated with a certain amount of negative, positive, or neutral sentiment: the most positive sentiment was associated with the "Industrial plan" and "Hydrogen" topics, and the most negative sentiment was associated with topics relating to "Joe Biden" and "Alexandria Ocasio-Cortez." Overall, our analysis of the discourse regarding the Green Deal offers organizations and decision-makers insight into how people perceive different aspects of the Green Deal and related topics. This may be beneficial in tackling disinformation across social networks and increasing public awareness, which could create a society better equipped to face the global concern of climate change.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Frontiers in Environmental Sciences

ISSN

2296-665X

e-ISSN

2296-665X

Volume of the periodical

12

Issue of the periodical within the volume

MAY 16 2024

Country of publishing house

CH - SWITZERLAND

Number of pages

17

Pages from-to

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UT code for WoS article

001234329300001

EID of the result in the Scopus database

2-s2.0-85194883340