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An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes

, , , , , , , , , и . Fifteenth ACM Conference on Recommender Systems, стр. 1-11. ACM, (сентября 2021)Best paper award.
DOI: 10.1145/3460231.3474241

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Branislav Radovic

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An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes, , , , , , , , , и . Fifteenth ACM Conference on Recommender Systems, стр. 1-11. ACM, (сентября 2021)Best paper award.Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation., , , , , и . CoRR, (2024)Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)., , , , , , , , , и . IJCAI, стр. 5349-5353. ijcai.org, (2022)KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection., , , , и . SemEval@ACL, стр. 629-637. Association for Computational Linguistics, (2023)Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation., , , , , и . ACL (1), стр. 13148-13171. Association for Computational Linguistics, (2024)FireAnt: Claim-Based Medical Misinformation Detection and Monitoring., , , , и . ECML/PKDD (5), том 12461 из Lecture Notes in Computer Science, стр. 555-559. Springer, (2020)Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading., , , , , , , , , и . UMAP (Adjunct Publication), стр. 411-414. ACM, (2021)Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification.. IJCAI, стр. 5869-5870. ijcai.org, (2022)An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes., , , , , , , , , и . RecSys, стр. 1-11. ACM, (2021)Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims., , , , , , и . SIGIR, стр. 2949-2959. ACM, (2022)