Paper Number

ICIS2025-1562

Paper Type

Complete

Abstract

This study explores how corporate social advocacy (CSA) on social media enables and shapes digital organizing around contentious policy issues. Drawing on the Communicative Constitution of Organization (CCO) perspective, the research conceptualizes CSA posts as communicative acts that are not only expressions of corporate societal positioning but also elicit organizationality in fluid, transient, and contested sociopolitical discourses characterized by social media. Through a computationally intensive multi-case study design, the paper examines corporate and CEO-led advocacy on social media related to three polarizing issues: gun control, the Paris Agreement, and US immigration policy. Utilizing large language models, the posts and comments are annotated by stance (favor or oppose) and explicitness in positioning (explicit or implicit), allowing for a fine-grained analysis of organizing dynamics around CSA posts. The study applies computational techniques such as social network analysis and algorithmic-supported induction to identify patterns of organizing and counter-organizing around CSA on social media.

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Dec 14th, 12:00 AM

Curating Communication, Organizing Opinions: The Role of Corporate Social Advocacy in Contentious Digital Public Discourse

This study explores how corporate social advocacy (CSA) on social media enables and shapes digital organizing around contentious policy issues. Drawing on the Communicative Constitution of Organization (CCO) perspective, the research conceptualizes CSA posts as communicative acts that are not only expressions of corporate societal positioning but also elicit organizationality in fluid, transient, and contested sociopolitical discourses characterized by social media. Through a computationally intensive multi-case study design, the paper examines corporate and CEO-led advocacy on social media related to three polarizing issues: gun control, the Paris Agreement, and US immigration policy. Utilizing large language models, the posts and comments are annotated by stance (favor or oppose) and explicitness in positioning (explicit or implicit), allowing for a fine-grained analysis of organizing dynamics around CSA posts. The study applies computational techniques such as social network analysis and algorithmic-supported induction to identify patterns of organizing and counter-organizing around CSA on social media.

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