133 related articles for article (PubMed ID: 38349876)
1. Causally estimating the effect of YouTube's recommender system using counterfactual bots.
Hosseinmardi H; Ghasemian A; Rivera-Lanas M; Horta Ribeiro M; West R; Watts DJ
Proc Natl Acad Sci U S A; 2024 Feb; 121(8):e2313377121. PubMed ID: 38349876
[TBL] [Abstract][Full Text] [Related]
2. Exploring YouTube's Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories.
Ng YMM; Hoffmann Pham K; Luengo-Oroz M
J Med Internet Res; 2023 Sep; 25():e49061. PubMed ID: 37713243
[TBL] [Abstract][Full Text] [Related]
3. Examining algorithmic biases in YouTube's recommendations of vaccine videos.
Abul-Fottouh D; Song MY; Gruzd A
Int J Med Inform; 2020 Aug; 140():104175. PubMed ID: 32460043
[TBL] [Abstract][Full Text] [Related]
4. Auditing YouTube's recommendation system for ideologically congenial, extreme, and problematic recommendations.
Haroon M; Wojcieszak M; Chhabra A; Liu X; Mohapatra P; Shafiq Z
Proc Natl Acad Sci U S A; 2023 Dec; 120(50):e2213020120. PubMed ID: 38051772
[TBL] [Abstract][Full Text] [Related]
5. YouTube's recommendation algorithm is left-leaning in the United States.
Ibrahim H; AlDahoul N; Lee S; Rahwan T; Zaki Y
PNAS Nexus; 2023 Aug; 2(8):pgad264. PubMed ID: 37601308
[TBL] [Abstract][Full Text] [Related]
6. Systematic review: YouTube recommendations and problematic content.
Yesilada M; Lewandowsky S
Internet Policy Rev; 2022 Mar; 11(1):1652. PubMed ID: 36466439
[TBL] [Abstract][Full Text] [Related]
7. Influence of User Profile Attributes on e-Cigarette-Related Searches on YouTube: Machine Learning Clustering and Classification.
Murthy D; Lee J; Dashtian H; Kong G
JMIR Infodemiology; 2023; 3():e42218. PubMed ID: 37124246
[TBL] [Abstract][Full Text] [Related]
8. Subscriptions and external links help drive resentful users to alternative and extremist YouTube channels.
Chen AY; Nyhan B; Reifler J; Robertson RE; Wilson C
Sci Adv; 2023 Sep; 9(35):eadd8080. PubMed ID: 37647396
[TBL] [Abstract][Full Text] [Related]
9. Examining the consumption of radical content on YouTube.
Hosseinmardi H; Ghasemian A; Clauset A; Mobius M; Rothschild DM; Watts DJ
Proc Natl Acad Sci U S A; 2021 Aug; 118(32):. PubMed ID: 34341121
[TBL] [Abstract][Full Text] [Related]
10. Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation.
Wang S; Chen X; McAuley J; Cripps S; Yao L
IEEE Trans Neural Netw Learn Syst; 2023 Nov; PP():. PubMed ID: 37971915
[TBL] [Abstract][Full Text] [Related]
11. Is YouTube a reliable source of health-related information? A systematic review.
Osman W; Mohamed F; Elhassan M; Shoufan A
BMC Med Educ; 2022 May; 22(1):382. PubMed ID: 35590410
[TBL] [Abstract][Full Text] [Related]
12. Hierarchical User Intention-Preference for Sequential Recommendation with Relation-Aware Heterogeneous Information Network Embedding.
Yang F; Li G; Yue Y
Big Data; 2022 Oct; 10(5):466-478. PubMed ID: 36036795
[TBL] [Abstract][Full Text] [Related]
13. Users' Responsiveness to Persuasive Techniques in Recommender Systems.
Alslaity A; Tran T
Front Artif Intell; 2021; 4():679459. PubMed ID: 34308340
[TBL] [Abstract][Full Text] [Related]
14. An overview of video recommender systems: state-of-the-art and research issues.
Lubos S; Felfernig A; Tautschnig M
Front Big Data; 2023; 6():1281614. PubMed ID: 37965498
[TBL] [Abstract][Full Text] [Related]
15. Knowledge-based recommender systems: overview and research directions.
Uta M; Felfernig A; Le VM; Tran TNT; Garber D; Lubos S; Burgstaller T
Front Big Data; 2024; 7():1304439. PubMed ID: 38469430
[TBL] [Abstract][Full Text] [Related]
16. Dynamic educational recommender system based on Improved LSTM neural network.
Ahmadian Yazdi H; Seyyed Mahdavi SJ; Ahmadian Yazdi H
Sci Rep; 2024 Feb; 14(1):4381. PubMed ID: 38388560
[TBL] [Abstract][Full Text] [Related]
17. Direct-to-Consumer Genetic Testing on Social Media: Topic Modeling and Sentiment Analysis of YouTube Users' Comments.
Toussaint PA; Renner M; Lins S; Thiebes S; Sunyaev A
JMIR Infodemiology; 2022; 2(2):e38749. PubMed ID: 37113449
[TBL] [Abstract][Full Text] [Related]
18. An Approach to Integrating Sentiment Analysis into Recommender Systems.
Dang CN; Moreno-García MN; Prieta F
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451118
[TBL] [Abstract][Full Text] [Related]
19. Self-Attention Based Time-Rating-Aware Context Recommender System.
Zha Y; Zhang Y; Liu Z; Dong Y
Comput Intell Neurosci; 2022; 2022():9288902. PubMed ID: 36164426
[TBL] [Abstract][Full Text] [Related]
20. Climbing crags recommender system in Arco, Italy: a comparative study.
Ivanova I; Wald M
Front Big Data; 2023; 6():1214029. PubMed ID: 37885957
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
