Abstract

Purpose: This study critically examines audience engagement strategies in data-driven digital journalism, interrogating how news organizations leverage analytics, personalization, and interactive content to cultivate active, sustained engagement. While digital journalism promises unprecedented access to audience behavior, the effectiveness and ethical implications of engagement strategies remain underexplored.

Methodology: A quantitative research design was employed, integrating structured surveys and digital analytics metrics from 15 leading news outlets. Engagement indices including click-through rates, social sharing, time-on-page, and comment frequency were mathematically modeled using multivariate regression and correlation analyses.

Findings: Results indicate that interactive visualizations, personalized content recommendations, and real-time analytics integration significantly enhance user engagement. However, the study reveals that overreliance on engagement metrics can distort editorial priorities, fostering content optimized for virality rather than journalistic value.

Value: By combining quantitative rigor with critical theoretical analysis, this study bridges the gap between data-driven news practices and scholarly understanding of audience behavior. It offers a framework for evaluating engagement strategies without conflating numerical performance with journalistic quality, thereby guiding news organizations toward more ethically and socially responsible digital practices.