Threat and Remedy: AI’s Technological and Normative Role in Democratic Discourse and Counter Speech

Diana Rieger and Mario Haim
Additional contact information
Diana Rieger: Department of Media and Communication, LMU Munich, Germany
Mario Haim: Department of Media and Communication, LMU Munich, Germany

Media and Communication, 2026, vol. 14

Abstract: Artificial intelligence (AI) has fundamentally transformed online discourse, serving simultaneously as a source of and a potential solution to threats to democracy. This article conceptually examines AI’s multifaceted role in digital public spheres, beginning with an analysis of how AI shapes democratic processes online, ranging from information curation and political participation to dialogue facilitation and the construction of epistemic infrastructures. We identify several key risks: AI amplifies harmful content through automated content generation, coordinated manipulation, and the algorithmic mainstreaming of borderline content that often evades traditional detection systems. Within this broader democratic context, we position counter speech as a critical intervention strategy and examine both reactive measures (e.g., automated detection and content moderation) and proactive approaches (e.g., prebunking, algorithmic downranking, friction design, and AI-mediated dialogue). We argue that effective counter speech increasingly relies on human–AI collaboration, where AI supports human counter speakers with factual resources, emotional scaffolding, and scalability, while human actors preserve the authenticity and agency that make counter speech normatively meaningful. However, realizing the potential of such collaboration requires moving beyond technological fixes toward democratically legitimated governance structures. Drawing on examples from Wikipedia and decentralized platforms, we demonstrate how transparent and participatory institutional arrangements can foster more resilient discourse environments. We conclude that societies can harness AI’s democratic potential while mitigating its risks only by proactively establishing legitimate deliberative processes grounded in broadly shared discourse norms.

Keywords: artificial intelligence; content moderation; counter speech; democratic discourse; online hate speech; online radicalization (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.cogitatiopress.com/mediaandcommunication/article/view/12499 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cog:meanco:v14:y:2026:a:12499

DOI: 10.17645/mac.12499

Access Statistics for this article

Media and Communication is currently edited by Raquel Silva

More articles in Media and Communication from Cogitatio Press
Bibliographic data for series maintained by António Vieira () and IT Department ().