Abstract
This research explores the use of generative AI, specifically chatbots, in small newsrooms and addresses motivations, challenges, and ethical considerations. The study includes developing an open-source chatbot prototype informed by semi-structured interviews with staff from small newsrooms, aiming to create a functional, accessible tool for organizations with limited budgets and technical resources. AI has already reshaped journalism, from personalized news feeds to automated reporting, yet small newsrooms often lack the resources to integrate these technologies. This project examines the potential divide between large and small organizations in AI access, particularly since generative AI tools like ChatGPT have popularized these systems. By leveraging the Unified Theory of Acceptance and Use of Technology (UTAUT), the study analyzes small newsrooms’ views on AI, specifically generative AI’s impact on journalism and audience relationships. The methodology follows Design Research Science Methodology (DRSM) principles, involving three phases: developing an initial chatbot prototype, conducting interviews to gather newsroom feedback, and refining the chatbot and creating an implementation framework. Currently, interviews are underway, with analysis to follow, focusing on adoption motivators like performance expectancy, effort expectancy, social influence, and facilitating conditions. The final open-source prototype and framework will support small newsrooms in adopting AI ethically and effectively, made accessible via GitHub.
Details
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KEYWORDS
Journalism, Artificial Intelligience, Generative Artificial Intelligience, Small Newsrooms
