Global analysis of Twitter communication in corporate social responsibility area: sustainability, climate change, and waste management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96753" target="_blank" >RIV/60460709:41110/23:96753 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.7717/peerj-cs.1390" target="_blank" >https://doi.org/10.7717/peerj-cs.1390</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7717/peerj-cs.1390" target="_blank" >10.7717/peerj-cs.1390</a>
Alternative languages
Result language
angličtina
Original language name
Global analysis of Twitter communication in corporate social responsibility area: sustainability, climate change, and waste management
Original language description
Many people now consider social media to be an integral part of their daily routines, which has enabled companies to implement successful corporate social responsibility campaigns through these platforms. The direct interaction with stakeholders offered by social media helps companies to build understanding, trust, and their image. The aim of this study was to identify key topics and trends communicated in connection with corporate social responsibility on the Twitter social network from 2017 to 2022. Analysis of 520,638 tweets by 168,134 unique users identified a predominance of environment-related topics: Sustainability, Climate Change, and Waste management. However, Charity remains the largest single topic. Based on the trend analysis, the areas of ESG, Social Impact, and Charity were identified as growth areas in communication, while Green and Philanthropy, on the other hand, were identified as decreasing.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PeerJ Computer Science
ISSN
2376-5992
e-ISSN
2376-5992
Volume of the periodical
9
Issue of the periodical within the volume
MAY 18 2023
Country of publishing house
GB - UNITED KINGDOM
Number of pages
30
Pages from-to
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UT code for WoS article
000996333400001
EID of the result in the Scopus database
2-s2.0-85160691447