A YouTube Dataset with User-level Usage Data: Baseline Characteristics and Key Insights

Lall, Shruti; Agarwal, Mohit; Sivakumar, R.

doi:10.1109/icc40277.2020.9148782

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…We were unable to account for these factors in our analysis as we used YouTube's API for developers to collect related videos and reconstruct a generic network of vaccine-related videos. To address this limitation and to validate our results, an interesting and necessary future direction would be to collect recommendations based on personal accounts on YouTube, similar to the approach used by Lall et al (2020) who used Amazon's Mechanical Turk Platform to collect watch data from individual users.…”

Section: Study Limitations and Future Directionsmentioning

confidence: 99%

From Facebook to YouTube: The Potential Exposure to COVID-19 Anti-Vaccine Videos on Social Media

Gruzd

Abul-Fottouh

Song

et al. 2023

Social Media + Society

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This article examines the role of Facebook and YouTube in potentially exposing people to COVID-19 vaccine–related misinformation. Specifically, to study the potential level of exposure, the article models a uni-directional information-sharing pathway beginning when a Facebook user encounters a vaccine-related post with a YouTube video, follows this video to YouTube, and then sees a list of related videos automatically recommended by YouTube. The results demonstrate that despite the efforts by Facebook and YouTube, COVID-19 vaccine–related misinformation in the form of anti-vaccine videos propagates on both platforms. Because of these apparent gaps in platform-led initiatives to combat misinformation, public health agencies must be proactive in creating vaccine promotion campaigns that are highly visible on social media to overtake anti-vaccine videos’ prominence in the network. By examining related videos that a user potentially encounters, the article also contributes practical insights to identify influential YouTube channels for public health agencies to collaborate with on their public service announcements about the importance of vaccination programs and vaccine safety.

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Section: Study Limitations and Future Directionsmentioning

confidence: 99%

From Facebook to YouTube: The Potential Exposure to COVID-19 Anti-Vaccine Videos on Social Media

Gruzd

Abul-Fottouh

Song

et al. 2023

Social Media + Society

View full text Add to dashboard Cite

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A Labeled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources About the 2024 Outbreak of Measles

Thakur,

Su,

Shao

et al. 2024

Lecture Notes in Computer Science

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YouTube Dataset on Mobile Streaming for Internet Traffic Modeling and Streaming Analysis

et al. 2022

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Around 4.9 billion Internet users worldwide watch billions of hours of online video every day. As a result, streaming is by far the predominant type of traffic in communication networks. According to Google statistics, three out of five video views come from mobile devices. Thus, in view of the continuous technological advances in end devices and increasing mobile use, datasets for mobile streaming are indispensable in research but only sparsely dealt with in literature so far. With this public dataset, we provide 1,081 hours of time-synchronous video measurements at network, transport, and application layer with the native YouTube streaming client on mobile devices. The dataset includes 80 network scenarios with 171 different individual bandwidth settings measured in 5,181 runs with limited bandwidth, 1,939 runs with emulated 3 G/4 G traces, and 4,022 runs with pre-defined bandwidth changes. This corresponds to 332 GB video payload. We present the most relevant quality indicators for scientific use, i.e., initial playback delay, streaming video quality, adaptive video quality changes, video rebuffering events, and streaming phases.

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A YouTube Dataset with User-level Usage Data: Baseline Characteristics and Key Insights

Cited by 3 publications

References 14 publications

From Facebook to YouTube: The Potential Exposure to COVID-19 Anti-Vaccine Videos on Social Media

From Facebook to YouTube: The Potential Exposure to COVID-19 Anti-Vaccine Videos on Social Media

A Labeled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources About the 2024 Outbreak of Measles

YouTube Dataset on Mobile Streaming for Internet Traffic Modeling and Streaming Analysis

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