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Contact


Email

silvia.montanan@unimelb.edu.au

Credentials


Position
Lecturer in Journalism
School of Culture and Communication
Education
PhD
Queensland Uni of Technology
ORCID

0000-0002-4238-0801

Dr Silvia Montaña-Niño

Lecturer in Journalism
School of Culture and Communication

16 Scholarly works
2 Projects

HIGHLIGHTS

  • 2026

    Book Chapter

    The Truth-Keeping Moment
    DOI: 10.4324/9781003359524-15
  • 2026

    Journal article

    Shining Light on “Dark Science”: Mapping the Field of Science Watchdog Journalism
    DOI: 10.17645/mac.12392
  • 2026

    Other

    Three ways to avoid being fooled by AI slop
    DOI: 10.64628/aa.xak6y3ans
  • 2026

    Research contracts (non-grants)

    Public Data Purges: Exploring Impacts for Evidence-Based Journalism in a Polarised World
  • 2025

    Journal article

    The Art of the (Platform) Deal Tech Platforms Fact Checkers the Politics of Truth
    DOI: 10.34669/wi.wjds/5.2.1
  • 2025

    Research grants (other domestic)

    Authenticity and AI: A Study of Fact-Checking Synthetic Media
  • 2024

    Journal article

    Automated Journalistic Assemblages. A Conceptual Approach to the Normative and Ethical Debates on AI Implementation in Newsrooms
    DOI: 10.1445/113227
Silvia Montaña-Niño

RECENT SCHOLARLY WORKS

  • 2024

    Journal article

    Beyond the ‘critical incident’: COVID-19, data journalism and the slow road to editorial automation in Australian newsrooms
    DOI: 10.1177/14614448231201644
  • 2024

    Book Chapter

    Social Media and Science/Health Reporting
    DOI: 10.1007/978-3-031-49084-2_12
  • 2024

    Journal article

    Fact-Checkers on the Fringe: Investigating Methods and Practices Associated With Contested Areas of Fact-Checking
    DOI: 10.17645/mac.8688
  • 2024

    Journal article

    Fact‐Checking Role Performances and Problematic Covid‐19 Vaccine Content in Latin America and Sub‐Saharan Africa
    DOI: 10.17645/mac.8680
  • 2023

    Journal article

    EDITORIAL AUTOMATION: THE PURSUIT OF JOURNALISTIC MEANING IN AUTOMATED TOOLS AND AUTOMATED DECISION-MAKING SYSTEMS IN AUSTRALIAN NEWSROOMS
    DOI: 10.5210/spir.v2022i0.13056

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

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