Journal ArticleParallel publicationPublished versionDOI: 10.48548/pubdata-4118

Social Media Is a Threat for Democracy! A Political Perspective for Analysing and Diminishing Harm

Chronological data

Date of first publication2025-12-22
Date of publication in PubData 2026-08-17

Language of the resource

English

Related external resources

Variant form of DOI : 10.1111/joms.70053
Castelló, I., Colleoni, E., Scherer, A. G., & Trittin‐Ulbrich, H. (2025). Social Media Is a Threat for Democracy! A Political Perspective for Analysing and Diminishing Harm. Journal of Management Studies.
Published in ISSN : 0022-2380
Journal of Management Studies

Abstract

Social media platforms, once hailed as potential champions of dialogue, have evolved into commodified spaces in which their business models incentivize hate speech, misinformation, polarization, and the political fragmentation of society, benefiting corporate and political elites while eroding democracy. The existing market and technological conceptualizations of social media platforms offer only partial analysis of and solutions to these issues. This paper advances a political perspective grounded in deliberative democracy, arguing that social media companies are political actors responsible for maintaining a well-functioning public sphere. We argue that transforming social media platforms into true facilitators of democratic discourse requires enhancing their deliberative capacity. Beyond the capacities of the public sphere suggested by the market and technology perspectives (1) transparency and accountability and (2) openness and inclusiveness, we propose that fostering deliberative capacity also requires (3) conduciveness to argumentation and (4) consequentiality. We thus contribute to understanding how management theories can explain and address current threats to democracy.

Keywords

Artificial Intelligence; Deliberation; Democracy;; Digital Platform; Governance; Organized Immaturity; Political View of the Firm; Public Sphere; Social Media; Surveillance Capitalism

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Research