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Journalism Studies

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Journalism Studies

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Research Frontiers in Algorithmic Bias in Automated News Curation

Examines how recommendation algorithms perpetuate filter bubbles and ideological polarization in personalized news distribution systems.

Filter Bubbles and Epistemic Fragmentation in News Ecosystems
Algorithmic Gatekeeping: Power Asymmetries in Content Selection
Temporal Bias in Breaking News Ranking and Visibility
Demographic Targeting and Underrepresentation in Curated Feeds
Sensationalism Amplification Through Machine Learning Ranking
Source Diversity Collapse in Automated Aggregation Systems
Geopolitical Bias in Cross-Border News Algorithmic Distribution
Structural Inequities in Algorithmic Attribution and Credit
Feedback Loops Between Editorial Bias and Training Data
Opacity and Accountability in Black-Box News Curation

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