This paper presents the findings of an exploratory study on the continuously generating Big
Data on Twitter related to the sharing of information, news, views, opinions, ideas …

Assessing the potential success of a given song based on its acoustic characteristics is an
important task in the music industry. This task has mostly been approached from an internal …

Popular songs are often said to be 'contagious','infectious' or 'viral'. We find that download
count time series for many popular songs resemble infectious disease epidemic curves. This …

Being able to predict whether a song can be a hit has important applications in the music
industry. Although it is true that the popularity of a song can be greatly affected by external …

Thought to be an ever-changing art form, music has been a form of recreational
entertainment for ages. The music industry is constantly making efforts for songs to be a hit …

With the advent of social media, concepts such as forecasting and now casting became part
of the public debate. Past successes include predicting election results, stock prices and …

A model for hit song prediction can be used in the pop music industry to identify emerging
trends and potential artists or songs before they are marketed to the public. While most …

Objectives: To examine whether the integration of Social Media features from YouTube
videos and Spotify audio features can effectively predict music popularity. Methods: A …

Music discovery in everyday situations has been facilitated in recent years by audio content
recognition services such as Shazam. The widespread use of such services has produced a …

Music streaming services are getting increasingly popular as a result of the prevalent need
for web and smart gadgets. Melophiles are drawn toward a range of musical genres and …