Cited by 17Misinformation and Its ImpactsEthics and Social Impacts of AIJournalism and Media Studies

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Sourcing behavior and the role of news media in AI-powered search engines in the digital media ecosystem: Comparing political news retrieval across five languages

Open access
Brantner, Cornelia, Karlsson, Michael, Kuai, Joanne·2025·Telecommunications Policy

Abstract

This study examines the role of news media in the context of generative AI-enhanced search engines, focusing on the 2024 Taiwan presidential election. Using Microsoft’s Copilot, we conducted a comparative analysis by prompting election news in five languages: English, Traditional Chinese, Simplified Chinese, German, and Swedish. While Copilot uses mainly professional news media, provides quick access to synthesized information, and exhibits source transparency, it frequently creates misinformation and misattributes news sources. The analysis highlights variations in Copilot’s sourcing behavior, showing a strong reliance on English-language sources, particularly those from the UK and US, across different prompting languages. Such reliance raises concerns about the homogenization of information and the marginalization of regional perspectives. The study underscores the critical role and dilemma of news media, which, while serving as authoritative sources in democratic societies, must navigate an increasing AI-mediated information ecosystem to maintain autonomy vis-à-vis powerful technological infrastructures. By evaluating Copilot’s sourcing practices and misinformation prevalence, this research contributes to the discourse on AI’s impact on news dissemination, media diversity, and democratic processes . Specifically, we discuss the consequences of two approaches available to news media to prevent their content from being used without compensation: opting out of crawling (“platform counterbalancing”) or establishing partnerships with AI companies. Current regulatory efforts, including copyright reforms and the EU AI Act, fall short of safeguarding journalism or regulating AI. We propose policy and regulatory recommendations to improve transparency, factual correctness, accuracy in source attribution, and accountability in AI-generated content, supporting informed citizenship in the digital age.

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Crossref · 10.1016/j.telpol.2025.102952

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Metadata

Authors
Brantner, C., Karlsson, M., & Kuai, J.
Affiliations
Karlstad University (SE)
Corresponding author
Kuai, Joanne
Venue
Telecommunications Policy
Publisher
Elsevier BV
Published
2025-06
Volume
49
Issue
5
Pages
102952
ISSN
0308-5961 (ISSN-L)
OpenAlex
W4409200809
Cited by
17
References
3
Citations by year
2026: 15 · 2025: 2
FWCI
19.40
Type
journal article
Language
en
Open access
Locations
  • Telecommunications Policy (publishedVersion, cc-by)
  • Digitala vetenskapliga arkivet (Diva) (Karlstad University) (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
Swedish Research Council (2022-05392)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Communication › Journalism and Media Studies
Keywords
Microsoft Copilot, misinformation, source transparency, EU AI Act, AI regulation, democratic process

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