CSR Communication on Twitter - A Scoping Review on Social Media Mining and Analytic Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ATRIWMJ5Q" target="_blank" >RIV/00216208:11320/23:TRIWMJ5Q - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152124899&partnerID=40&md5=0a9f10ac9fa350344ee72ce96a05bd07" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152124899&partnerID=40&md5=0a9f10ac9fa350344ee72ce96a05bd07</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CSR Communication on Twitter - A Scoping Review on Social Media Mining and Analytic Methods
Original language description
"Adopting corporate social responsibility (CSR) is becoming increasingly mandatory as international legislation puts pressure on companies to implement and report on appropriate CSR measures. As of 2024, a significant number of companies will need to report on CSR topics for the first time. To identify relevant topics that resonate best in the industry or even with one's own stakeholder groups and should therefore be picked up, addressed and reported on preferentially, social media mining (SMM) can be an efficient approach for companies. By reviewing applied SMM and analytic methods of Twitter data, we identified four methodological approaches that use algorithms to identify relevant CSR topics for companies to engage with. This scoping review thus provides a systematized overview of SMM pipelines for use, being equally relevant for academics and practitioners aiming at computational analysis of Twitter content regarding CSR activities and communication. © 2023 IEEE Computer Society. All rights reserved."
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"Proc. Annu. Hawaii Int. Conf. Syst. Sci."
ISBN
978-099813316-4
ISSN
1530-1605
e-ISSN
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Number of pages
10
Pages from-to
2160-2169
Publisher name
IEEE Computer Society
Place of publication
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Event location
Singapore
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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