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Digital Journalism

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Digital Journalism

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Research Frontiers in Algorithmic Bias in News Recommendation Systems

Examination of how recommendation algorithms perpetuate filter bubbles and echo chambers in digital news distribution platforms.

Filter Bubbles and Polarization Feedback Loops in News Feeds
Demographic Parity Versus Calibration in Journalistic Algorithms
Temporal Decay Bias in Recommendation Rankings Across Newsrooms
Proxy Variables and Hidden Discrimination in Editorial Algorithms
Representation Gaps Between Algorithmic and Human Curation
Engagement Metrics as Implicit Bias Amplifiers in News Systems
Source Diversity Collapse Under Optimization Pressure
Fairness-Accuracy Trade-offs in Real-time News Personalization
Echo Chambers and Geographic Blind Spots in Distribution Networks
Cultural Context Loss in Cross-Border Algorithmic News Delivery

All Digital Journalism PhD categories