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Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm

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References

2021A Survey on Bias and Fairness in Machine Learning6,499 cited
2020Understanding Echo Chambers and Filter Bubbles: The Impact of Social Media on Diversification and Partisan Shifts in News Consumption430 cited
2017‘What is this corpus about?’: using topic modelling to explore a specialised corpus204 cited
2019Political communication on social media: A tale of hyperactive users and bias in recommender systems130 cited
2014Territorial Disputes in the South China Sea95 cited
2020Utilizing radar graphs in the visualization of simulation and estimation results in network meta‐analysis26 cited

Cited by

2024Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics10 cited

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