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INSTAGRAM ANALYSIS OF GREEN DEAL COMMUNICATION

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F22%3A92537" target="_blank" >RIV/60460709:41110/22:92537 - isvavai.cz</a>

  • Result on the web

    <a href="https://ap.pef.czu.cz/en/r-12193-conference-proceedings" target="_blank" >https://ap.pef.czu.cz/en/r-12193-conference-proceedings</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    INSTAGRAM ANALYSIS OF GREEN DEAL COMMUNICATION

  • Original language description

    This paper aims to identify the main topics of communication related to the Green Deal based on a social media analysis on the Instagram social network. Based on the imported data, from 23 316 posts of 9 284 unique users, 6,014 unique hashtags were identified, which are connected via 82,679 connections. We have identified 7 most important hashtags on the grounds of the values of frequency and eigenvector centrality as 1) sustainability 2) climatechange 3) environment 4) innovation 5) circulareconomy 6) renewableenergy, 7) greenwashing. Using community analysis, it is possible to recognize 3 main cluters 1) Environment sustainability 2) Renewable energy and 3) Agriculture. This research describe the key areas that are communicated on the social media (Instagram), which is a key factor in understanding people and organization interests in the context of the various elements of the EU Green Deal and on the other hand offers the comprehension of the topics that are communicated which affects public perce

  • Czech name

    INSTAGRAM ANALYSIS OF GREEN DEAL COMMUNICATION

  • Czech description

    This paper aims to identify the main topics of communication related to the Green Deal based on a social media analysis on the Instagram social network. Based on the imported data, from 23 316 posts of 9 284 unique users, 6,014 unique hashtags were identified, which are connected via 82,679 connections. We have identified 7 most important hashtags on the grounds of the values of frequency and eigenvector centrality as 1) sustainability 2) climatechange 3) environment 4) innovation 5) circulareconomy 6) renewableenergy, 7) greenwashing. Using community analysis, it is possible to recognize 3 main cluters 1) Environment sustainability 2) Renewable energy and 3) Agriculture. This research describe the key areas that are communicated on the social media (Instagram), which is a key factor in understanding people and organization interests in the context of the various elements of the EU Green Deal and on the other hand offers the comprehension of the topics that are communicated which affects public perce

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Agrarian perspectives XXXI. Green Deal – Future Perspectives

  • ISBN

    978-80-213-3211-9

  • ISSN

  • e-ISSN

    2464-4781

  • Number of pages

    10

  • Pages from-to

    204-213

  • Publisher name

    Czech University of Life Sciences Prague Kamýcká 129, Prague 6, Czech Republic

  • Place of publication

    Prague

  • Event location

    Prague

  • Event date

    Sep 14, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article