Showing 1 - 18 results of 18 for search '"Youtube"', query time: 0.06s Refine Results
  1. 1

    The International Affiliation Network of YouTube Trends by Platt, Edward, Bhargava, Rahul, Zuckerman, Ethan

    Published 2020
    “…In this work, we study a large set of videos trend- ing across 57 nations, collected from YouTube over a 7-month period. We consider the set as a network of content flowing between nations, then develop conditional co-affiliation, a nation-nation co-affiliation index that enables a meaningful interpretation of network path length and the application of betweenness centrality. …”
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  2. 2

    The International Affiliation Network of YouTube Trends by Platt, Edward L., Bhargava, Rahul, Zuckerman, Ethan

    Published 2015
    “…In this work, we study a large set of videos trending across 57 nations, collected from YouTube over a 7-month period. We consider the set as a network of content flowing between nations, then develop conditional co-affiliation, a nation-nation co-affiliation index that enables a meaningful interpretation of network path length and the application of betweenness centrality. …”
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    Article
  3. 3

    Evolving Algorithms for Sustainable Development: Technology, Policy, and Environment by Ashford, Nicholas

    Published 2021
    “…“Evolving Algorithms for Sustainable Development: Technology, Policy, and Environment” Available at: https://www.youtube.com/watch?v=Ayyib5THzxw&feature=youtu.be…”
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  4. 4

    Misinformation and What to Do About It by Ashford, Nicholas

    Published 2021
    “…DISINFORMATION: The Straight Scoop. YouTube. https://www.youtube.com/watch?v=qvWbvlWfq98…”
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    Video
  5. 5

    Misinformation and What to Do About It by Ashford, Nicholas

    Published 2021
    “…Ashford, MIT on 11 June 2021 DISINFORMATION: The Straight Scoop. YouTube. https://www.youtube.com/watch?v=qvWbvlWfq98…”
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    Video
  6. 6

    The Many-Faceted Nature of the Precautionary Principle: Science, Technology, Social Justice, and Accountability

    Published 2021
    “…Transcript of “The Many-Faceted Nature of the Precautionary Principle: Science, Technology, Social Justice, and Accountability” presented at the “Symposium on Health Risks, Innovation and Precaution”, Paris, 24 June 2015, Available at: https://youtu.be/l0slNw371cc…”
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    Presentation
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    Who controls cyberspace? by Choucri, Nazli, Clark, David D.

    Published 2022
    “…After an anti-Islamic movie trailer was posted on YouTube in 2012, the horrified Pakistani government rushed to block its nation’s access to the Internet video service—and, in the process, temporarily disrupted YouTube access around the world. …”
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    Digital pitchforks and virtual torches: Fan responses to the Mass Effect news debacle by Dutton, N., Harper, T., Consalvo, Mia

    Published 2015
    “…The present research examines three distinct areas of these fan responses — forum discussions, YouTube videos, and the ‘review bombing’ of Cooper Lawrence’s books on Amazon.com. …”
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    Whanau: A Sybil-Proof Distributed Hash Table by Kaashoek, M. Frans, Lesniewski-Laas, Christopher Tur

    Published 2011
    “…Simulation results, using social network graphs from LiveJournal, Flickr, YouTube, and DBLP, confirm the analytic results. Experimental results on PlanetLab confirm that the protocol can handle modest churn.…”
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  15. 15

    Learnersourcing Subgoal Labels for How-to Videos by Weir, Sarah, Kim, Ju Ho, Miller, Robert C., Gajos, Krzysztof Z.

    Published 2015
    “…Websites like YouTube host millions of how-to videos, but the interfaces are not optimized for learning. …”
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  16. 16

    Mahimahi: A Lightweight Toolkit for Reproducible Web Measurement by Winstein, Keith, Das, Somak, Goyal, Ameesh, Balakrishnan, Hari, Netravali, Ravi Arun, Sivaraman Kaushalram, Anirudh

    Published 2015
    “…A demo of Mahimahi recording and replaying a Web page over an emulated link can be found at http://youtu.be/vytwDKBA-8s. The source code and instructions to use Mahimahi are available at http://mahimahi.mit.edu/.…”
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  17. 17

    HMDB: A Large Video Database for Human Motion Recognition by Kuehne, H., Serre, T., Jhuang, H., Garrote, Estibaliz, Poggio, Tomaso A.

    Published 2012
    “…To address this issue we collected the largest action video database to-date with 51 action categories, which in total contain around 7,000 manually annotated clips extracted from a variety of sources ranging from digitized movies to YouTube. We use this database to evaluate the performance of two representative computer vision systems for action recognition and explore the robustness of these methods under various conditions such as camera motion, viewpoint, video quality and occlusion.…”
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  18. 18

    Crowdsourcing step-by-step information extraction to enhance existing how-to videos by Nguyen, Phu Tran, Weir, Sarah, Guo, Philip J., Miller, Robert C., Gajos, Krzysztof Z., Kim, Ju Ho

    Published 2014
    “…We evaluated the workflow with Mechanical Turk, using 75 cooking, makeup, and Photoshop videos on YouTube. Results show that our workflow can extract steps with a quality comparable to that of trained annotators across all three domains with 77% precision and 81% recall.…”
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