“This is how journalism has always been done”: White neutrality, newsroom norms, and an AI intervention in source diversification
Year: 2026
Type: article
Abstract: This study draws on interviews with 12 journalists in a Canadian newsroom to examine how they understand source diversification, how they perceive AI-based source-tracking technology, and how their reflections illuminate discourse on race and accountability in journalism. Based on semi-structured interviews conducted after a demonstration of the technology, the analysis identifies the motivations and barriers shaping source diversification, including professional norms, representational goals, time constraints, and institutional culture. Reporters express commitments to inclusive sourcing, but remain constrained by routines that privilege official voices, anticipated by research analysis like framing and indexing theories. Participants describe the AI tool, which quantitatively scores sources according to their relationship to societal power structures, as a potential catalyst for reflective practice and accountability. They also suggest the technology may sit uneasily within professional norms. The study is contextualized in research about role performance and race in newsrooms. Finally, this AI-based source-tracking technology resituates journalism within a Bourdieusian field, pulled toward social and cultural capital in relation to structural racism.
Source: Journalism
Institution: Toronto Metropolitan University
Language: English
Subfield: Communication
Field: Social Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: hybrid
Estimated APC paid: $3,900
OpenAlex ID: W7204440045