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

Date
2023-01-03
Authors
Pilgrim, Katharina
Koss, Jonathan
Bohnet-Joschko, Sabine
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2160
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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 ap-proach 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.
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Data Analytics, Data Mining, and Machine Learning for Social Media, csr, network analysis, social media mining, topic model, twitter
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10
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Proceedings of the 56th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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