A content audit case study: AI-assisted processes for student-produced local newsrooms

This case study uses machine learning and generative AI to audit content diversity and source representation in The Scope, a Boston-based hyperlocal news outlet focused on underrepresented communities. Text analysis reveals geographic coverage, topical focus and quoted source demographics. Student journalists quoted more women and fewer public officials compared to professional norms. This study demonstrates AI’s potential to support small newsrooms in enhancing diversity, while addressing the ethical use of commercial AI in journalism.

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Publication Details

Journal
News Research Journal
Published
2026-04-14
DOI
https://doi.org/10.1177/30497841261438433
Primary Topic
Media Influence and Politics
Type
article
Field-Weighted Citation Impact
0.00
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article

A content audit case study: AI-assisted processes for student-produced local newsrooms

Rahul Bhargava, Meg Heckman, Elisabeth Hadjis
News Research Journal
Media Influence and Politics
article

A content audit case study: AI-assisted processes for student-produced local newsrooms

Rahul Bhargava, Meg Heckman, Elisabeth Hadjis
article en

Abstract

This case study uses machine learning and generative AI to audit content diversity and source representation in The Scope, a Boston-based hyperlocal news outlet focused on underrepresented communities. Text analysis reveals geographic coverage, topical focus and quoted source demographics. Student journalists quoted more women and fewer public officials compared to professional norms. This study demonstrates AI’s potential to support small newsrooms in enhancing diversity, while addressing the ethical use of commercial AI in journalism.

News Research Journal
Universidad del Noreste (MX)
Gender equality
Openalex Percentile: Top 13%
Media Influence and Politics
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