Cover Image

Efficient Data Retrieval and Comparative Bias Analysis of Recommendation Algorithms for YouTube Shorts and Long-Form Videos

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dagtas, Selimhan, Cakmak, Mert Can, Agarwal, Nitin
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simulating User Watch-Time to Investigate Bias in YouTube Shorts Recommendations
by: Dagtas, Selimhan, et al.
Published: (2025)

Investigating Algorithmic Bias in YouTube Shorts
by: Cakmak, Mert Can, et al.
Published: (2025)

A Keyframe-Based Approach for Auditing Bias in YouTube Shorts Recommendations
by: Cakmak, Mert Can, et al.
Published: (2025)

Auditing health-related recommendations in social media: A Case Study of Abortion on YouTube
by: Lahsaini, Mohammed, et al.
Published: (2024)

Shorts on the Rise: Assessing the Effects of YouTube Shorts on Long-Form Video Content
by: Rajendran, Prajit T., et al.
Published: (2024)

On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTube
by: Hachmeier, Simon, et al.
Published: (2025)

Forgetful by Design? A Critical Audit of YouTube's Search API for Academic Research
by: Rieder, Bernhard, et al.
Published: (2025)

TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations
by: Cakmak, Mert Can, et al.
Published: (2025)

On YouTube Search API Use in Research
by: Efstratiou, Alexandros
Published: (2025)

How Auditing Methodologies Can Impact Our Understanding of YouTube's Recommendation Systems
by: Chandio, Sarmad, et al.
Published: (2023)

Recommendation Algorithms: A Comparative Study in Movie Domain
by: Chivukula, Rohit, et al.
Published: (2026)

YouTube Videos for Public Health Literacy? A Machine Learning Pipeline to Curate Covid-19 Videos
by: Guo, Yawen, et al.
Published: (2023)

YT-30M: A multi-lingual multi-category dataset of YouTube comments
by: Dutta, Hridoy Sankar
Published: (2024)

Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends
by: Violot, Caroline, et al.
Published: (2024)

Task-Aware Retrieval Augmentation for Dynamic Recommendation
by: Tao, Zhen, et al.
Published: (2025)

Zero-shot Cross-domain Knowledge Distillation: A Case study on YouTube Music
by: Ranganathan, Srivaths, et al.
Published: (2026)

Network-Based Video Recommendation Using Viewing Patterns and Modularity Analysis: An Integrated Framework
by: Maghsoudi, Mehrdad, et al.
Published: (2023)

Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
by: Li, Yuan, et al.
Published: (2026)

Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
by: Dong, Lulu, et al.
Published: (2024)

Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings
by: Mosnar, Matej, et al.
Published: (2025)

YouTube Recommendations Reinforce Negative Emotions: Auditing Algorithmic Bias with Emotionally-Agentic Sock Puppets
by: Habib, Hussam, et al.
Published: (2025)

Flexible Generation of Preference Data for Recommendation Analysis
by: Mungari, Simone, et al.
Published: (2024)

Crafting Tomorrow: The Influence of Design Choices on Fresh Content in Social Media Recommendation
by: Saket, Srijan, et al.
Published: (2024)

Agro-STAY : Collecte de données et analyse des informations en agriculture alternative issues de YouTube
by: Maxim, Laura, et al.
Published: (2024)

Multimodal Point-of-Interest Recommendation
by: Kanzawa, Yuta, et al.
Published: (2024)

LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation
by: Ren, Qin, et al.
Published: (2025)

Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
by: Baumann, Joachim, et al.
Published: (2024)

Improved Adaboost Algorithm for Web Advertisement Click Prediction Based on Long Short-Term Memory Networks
by: Yu, Qixuan, et al.
Published: (2024)

Community-Aware Social Community Recommendation
by: Jiang, Runhao, et al.
Published: (2025)

Improving Community Detection in Academic Networks by Handling Publication Bias
by: Noor, Md Asaduzzaman, et al.
Published: (2025)

Dual-domain Collaborative Denoising for Social Recommendation
by: Chen, Wenjie, et al.
Published: (2024)

Cross-Domain Sequential Recommendation via Neural Process
by: Li, Haipeng, et al.
Published: (2024)

Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
by: Coppolillo, Erica, et al.
Published: (2024)

YouTube Video Analytics for Patient Engagement: Evidence from Colonoscopy Preparation Videos
by: Guo, Yawen, et al.
Published: (2024)

Matrix Factorization with Dynamic Multi-view Clustering for Recommender System
by: Gao, Shangde, et al.
Published: (2025)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
by: Guo, Linxin, et al.
Published: (2024)

CityHood: An Explainable Travel Recommender System for Cities and Neighborhoods
by: Santos, Gustavo H, et al.
Published: (2025)

Bending the Scaling Law Curve in Large-Scale Recommendation Systems
by: Ding, Qin, et al.
Published: (2026)

Spectral-Based Graph Neural Networks for Complementary Item Recommendation
by: Luo, Haitong, et al.
Published: (2024)

How to Train Your YouTube Recommender to Avoid Unwanted Videos
by: Liu, Alexander, et al.
Published: (2023)