CSR Communication on Twitter - A Scoping Review on Social Media Mining and Analytic Methods

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

CSR Communication on Twitter - A Scoping Review on Social Media Mining and Analytic Methods

Popis výsledku v původním jazyce

"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."

Název v anglickém jazyce

CSR Communication on Twitter - A Scoping Review on Social Media Mining and Analytic Methods

Popis výsledku anglicky

"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."

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

"Proc. Annu. Hawaii Int. Conf. Syst. Sci."

ISBN

978-099813316-4

ISSN

1530-1605

e-ISSN

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Počet stran výsledku

10

Strana od-do

2160-2169

Název nakladatele

IEEE Computer Society

Místo vydání

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Místo konání akce

Singapore

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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