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research in Journalism and Mass Communication Quarterly

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SAGE Journals(peer-reviewed)·journals.sagepub.com/doi/10.1177/10776990251375097

Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: SAGE Journals

A peer-reviewed journal article tangentially relevant to AI safety through its focus on disinformation and epistemic harms; more directly applicable to AI-generated misinformation and information integrity research than core technical AI safety topics.

Metadata

Importance: 25/100journal articleprimary source

Summary

This journal article from Journalism and Mass Communication Quarterly examines issues related to truth, epistemology, and disinformation in media contexts. Without full content access, the resource appears to investigate how misinformation spreads and its epistemological implications for public knowledge and media trust.

Key Points

  • •Explores the relationship between journalism, truth, and epistemic integrity in the information ecosystem
  • •Addresses disinformation dynamics relevant to public understanding and media credibility
  • •Published in a peer-reviewed mass communication journal, lending academic credibility to findings
  • •Likely examines how false information undermines shared epistemic foundations in society

Cited by 1 page

PageTypeQuality
Epistemic CollapseRisk49.0

Cached Content Preview

HTTP 200Fetched Apr 9, 20261 KB
# Disinformation in the Age of Artificial Intelligence (AI): Implications for Journalism and Mass Communication
Authors: Christian von Sikorski, Michael Hameleers
Journal: Journalism & Mass Communication Quarterly
Published: 2025-12
DOI: 10.1177/10776990251375097
## Abstract

We explore the growing intersection of artificial intelligence (AI) and disinformation, examining its implications for journalism and mass communication. We propose a working definition of AI disinformation, highlighting its role in the production, dissemination, and perception of misleading content. While AI technologies enable hyper-realistic synthetic media and targeted influence campaigns, empirical evidence on their impact remains mixed. We critically assess both alarmist and dismissive narratives, calling for a nuanced, evidence-based approach. Finally, we explore how AI can also serve as a tool to detect and counter disinformation, emphasizing the dual-use nature of AI in today’s complex information environment.
Resource ID: 7aca63edf40906f7 | Stable ID: sid_PzTMBpWJQo