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The Untold Story of the Clones: Content-agnostic Factors that Impact YouTube Video Popularity

机译:无与伦比的故事:影响YouTube视频受欢迎程度的内容不可知因素

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Video dissemination through sites such as YouTube can have widespread impacts on opinions, thoughts, and cultures. Not all videos will reach the same popularity and have the same impact. Popularity differences arise not only because of differences in video content, but also because of other "content-agnostic" factors. The latter factors are of considerable interest but it has been difficult to accurately study them. For example, videos uploaded by users with large social networks may tend to be more popular because they tend to have more interesting content, not because social network size has a substantial direct impact on popularity. In this paper, we develop and apply a methodology that is able to accurately assess, both qualitatively and quantitatively, the impacts of various content-agnostic factors on video popularity. When controlling for video content, we observe a strong linear "rich-get-richer" behavior, with the total number of previous views as the most important factor except for very young videos. The second most important factor is found to be video age. We analyze a number of phenomena that may contribute to rich-get-richer, including the first-mover advantage, and search bias towards popular videos. For young videos we find that factors other than the total number of previous views, such as uploader characteristics and number of keywords, become relatively more important. Our findings also confirm that inaccurate conclusions can be reached when not controlling for content.
机译:通过YouTube等网站进行的视频传播可能会对观点,思想和文化产生广泛影响。并非所有视频都具有相同的流行度和影响力。受欢迎程度的差异不仅是由于视频内容的差异,还因为其他“与内容无关的”因素。后面的因素引起了人们的极大兴趣,但是很难准确地研究它们。例如,具有大型社交网络的用户上传的视频可能会更受欢迎,因为它们倾向于包含更多有趣的内容,而不是因为社交网络的规模对受欢迎程度具有实质性的直接影响。在本文中,我们开发并应用了一种能够定性和定量地准确评估各种与内容无关的因素对视频受欢迎程度的影响的方法。在控制视频内容时,我们观察到强烈的线性“富人越富”行为,除非常年轻的视频外,以前的观看次数是最重要的因素。发现第二个最重要的因素是视频时代。我们分析了许多可能有助于致富的现象,包括先发优势,以及对热门视频的搜索偏向。对于年轻的视频,我们发现除以前的观看次数之外,其他因素(例如上传者的特征和关键字的数量)变得相对重要。我们的发现还证实,如果不控制内容,可能会得出不正确的结论。

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