Using early view patterns to predict the popularity of youtube videos

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Predicting the popularity of web 2.0 items based on user comments (2014, methodology): “The second cause may stem from ML’s use of minimizing the mean Relative Squared Error (mRSE) [28]) as its optimization criterion.”
What makes an image popular? (2014, background): “While most of the work has focused on predicting popularity of text content, such as messages or tweets on Twitter [42, 20], and some recent works on video popularity [43, 49, 38], signiﬁ-cantly less eﬀort has been expended in prediction of image popularity.”
Popularity and Quality in Social News Aggregators: A Study of Reddit and Hacker News (2015, methodology): “Recent work has improved the accuracy of this method (Pinto, Almeida, and Gonc¸alves 2013) but still only uses features related to early popularity.”
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades (2017, methodology): “We extract the mean time between each retweet [5], the cumulative popularity [2] and incremental popularity [3] every 10 minutes for Sina Weibo and every 3 months for APS.”
Viral Video Style: A Closer Look at Viral Videos on YouTube (2014, methodology): “ML Model [11] : S-H model can be regarded as a regression model with a single explanatory variable, i.e. the accumulated view count.”