【摘要】 在自媒体、短视频、微新闻等快速发展背景下,视频播放量产生了虚假刷流量的"灰色产业链"业务,这种现象违背了数据客观公正原则,不利于对媒体传播的数据真实性进行评估。由于视频播放量符合随机性、多数量级、增长量正比于存量等特征,因此可以基于本福特定律对视频播放量进行模型验证并通过相关性对验证结果进行检验,从而反映数据异常点,这对于评价热点视频播放量数据客观公正具有重要意义。更多还原

【Abstract】 Under the background of rapid development such as "we media", "short video", "micro news" and so on, video playback amount has given rise to gray industry chain of false flow increase, which violates principle of data objectivity and justice and is against to evaluate authenticity of media dissemination. Since video playback amount conforms to characteristics of randomness, multiple orders of magnitude, and growth rate is proportional to the stock, it is possible to model video playback amount based on Benford’s law and verify verification results through correlation to reflect data abnormalities, which is of great significance for objective and fair evaluation of hot video playback amount data.更多还原