Ideological congruence in the digital public sphere: linking corporate political donations to online audience composition on X (Twitter)
Abstract In an era of deepening political polarization, corporate political activism has emerged as a critical nexus of consumer-brand interaction. This study investigates the alignment between U.S. corporations’ offline political donations and the ideological composition of their online audiences on the X (formerly Twitter) platform. While existing research often relies on surveys, extensive empirical evidence from real-world social media remains limited. To address this gap, this research employs a novel computational approach, analyzing a large-scale X dataset to construct a political retweet network. Audience ideology is inferred using a validated community detection method. The analysis finds a robust association between the partisan direction of corporate donations and the ideological makeup of their X audience, a relationship that persists after controlling for firm-level factors. Furthermore, ideological misalignment is associated with a meaningful increase in negative online engagement. This study provides evidence consistent with social identity theory in consumer-brand dynamics and demonstrates the utility of computational methods for linking offline political actions to online social structures, offering crucial insights for navigating reputational risk in a polarized digital landscape.
Authors
- Jinghui Chen (ORCID: https://orcid.org/0000-0002-1486-4526)
- Takayuki Mizuno (ORCID: https://orcid.org/0000-0003-1332-076X)
Institutions
- National Institute of Informatics (JP)
- The Graduate University for Advanced Studies, SOKENDAI (JP)
Publication Details
- Journal
- Journal of Computational Social Science
- Published
- 2026-05-21
- DOI
- https://doi.org/10.1007/s42001-026-00477-0
- Primary Topic
- Social Media and Politics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science