News Recommenders in Small Media Markets

In a four-year doctoral journey, my research delves into the implementation of recommender systems within news organizations through the lens of media strategies. This comprehensive exploration is divided into two key phases, addressing distinct facets of this transformative technological landscape.

1. Strategic Decision-Making Processes

The initial phase of my research centers on unraveling the strategic decision-making processes in the development and implementation of recommender systems within news organizations. Drawing on a multi-stakeholder and multi-objectives framework, scrutinizing the complexities surrounding the strategies in commercial news organizations. From a multi-stakeholder perspective, this research identifies diverse entities such as newsrooms, technology departments, and marketing teams, each holding unique objectives and values. This framework allows to dissect conflicts, trade-offs, and (mis)conceptions that shape the strategic landscape, offering insights into how recommender systems align with overarching organizational goals.

2. User Journeys and Experiences

In a second phase the focus shifts towards a user-centric perspective. This stage of the research aims to map user journeys and experiences and examine the added value brought about by recommender systems in the realm of news consumption. By closely examining interaction touchpoints, user preferences, and experiences, I seek to uncover the nuanced ways in which recommender systems influence and enhance the user journey.

This comprehensive, dual-phased approach reflects the goal of this PhD to comprehensively understand the role of recommender systems in news organizations. By blending strategic decision-making perspectives with an in-depth exploration of user experiences, my research aims to not only contribute to the academic discourse surrounding media strategies but also offer actionable insights for news organizations navigating the dynamic landscape of digital news consumption.