City Research Online

Abstract

Local newspapers have faced declining readership and advertising revenues, alongside growing skepticism from audiences with migration backgrounds. This undermines local journalism’s democratic role. To address this, we conducted a participatory Design Thinking (DT) project with a German regional newsroom to develop a low-fidelity prototype of a responsible AI tool to improve engagement with migrant audiences. Two focus groups with individuals from immigrant backgrounds informed five DT workshops with newsroom staff and community partners, following the Stanford d.school framework. The resulting prototype includes three dashboards for topic selection, editorial support, and post publication feedback. Guided by a value-sensitive design approach grounded in transparency, engagement with audience perspectives, and responsive feedback mechanisms, this paper presents a practical solution for embedding responsible AI in local journalism workflows to support democratic and organizational sustainability.

Publication Type:	Conference or Workshop Item (Paper)
Publisher Keywords:	Responsible Artificial Intelligence, Local Journalism, Design Thinking, Value-Sensitive Design, Migrant Audiences, Participatory Design, Topic Selection, Audience Engagement
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Communication & Creativity School of Communication & Creativity > Department of Journalism
SWORD Depositor:	Symplectic Administrator

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