Results 271 to 280 of about 774,898 (307)
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YouTube as a source of information on Helicobacter pylori: Content and quality analysis
Helicobacter, 2023Helicobacter pylori infection is the most common cause of infectious diseases worldwide, and management is a current and vital problem for physicians and patients.
Muhammer Ergenç, T. K. Uprak
semanticscholar +1 more source
Measuring Misinformation in Video Search Platforms: An Audit Study on YouTube
Proc. ACM Hum. Comput. Interact., 2020Search engines are the primary gateways of information. Yet, they do not take into account the credibility of search results. There is a growing concern that YouTube, the second largest search engine and the most popular video-sharing platform, has been ...
Eslam Hussein +2 more
semanticscholar +1 more source
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
European Conference on Computer Vision, 2018Learning long-term spatial-temporal features are critical for many video analysis tasks. However, existing video segmentation methods predominantly rely on static image segmentation techniques, and methods capturing temporal dependency for segmentation ...
N. Xu +8 more
semanticscholar +1 more source
Youtube Comments Sentiment Analysis
2024 IEEE 9th International Conference for Convergence in Technology (I2CT)Sentiment analysis is a method used to identify and understand user opinions and viewpoints regarding a product or service. YouTube, one of the most popular video-sharing platforms, garners millions of views daily, resulting in a plethora of user ...
Rushikesh Giri +2 more
semanticscholar +1 more source
YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus
International Conference on Learning RepresentationsEven for better-studied sign languages like American Sign Language (ASL), data is the bottleneck for machine learning research. The situation is worse yet for the many other sign languages used by Deaf/Hard of Hearing communities around the world.
Garrett Tanzer, Biao Zhang
semanticscholar +1 more source
Echo Chambers, Rabbit Holes, and Algorithmic Bias: How YouTube Recommends Content to Real Users
Social Science Research Network, 2022To what extent does the YouTube recommendation algorithm push users into echo chambers, ideologically biased content, or rabbit holes? Using a novel method to estimate the ideology of YouTube videos and an original experimental design to isolate the ...
Megan Brown +5 more
semanticscholar +1 more source
Right-Wing YouTube: A Supply and Demand Perspective
The International Journal of Press/Politics, 2020YouTube is the most used social network in the United States and the only major platform that is more popular among right-leaning users. We propose the “Supply and Demand” framework for analyzing politics on YouTube, with an eye toward understanding ...
Kevin Munger, Joseph Phillips
semanticscholar +1 more source
Dissemination of Misinformative and Biased Information about Prostate Cancer on YouTube.
European Urology, 2019YouTube is a social media platform with more than 1 billion users and >600000 videos about prostate cancer. Two small studies examined the quality of prostate cancer videos on YouTube, but did not use validated instruments, examine user interactions, or ...
S. Loeb +10 more
semanticscholar +1 more source