Gabriel P. Oliveira;Ana Paula Couto Da Silva;Mirella M. Moro
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引用次数: 0
Abstract
Songs going viral is not a new phenomenon in the music industry. Still, this phenomenon has reached new heights with the popularization of the Web and social platforms, which allow songs to achieve worldwide hit status almost instantly. Although interconnected, musical virality and commercial success are distinct concepts, and platforms such as TikTok have had significant power in amplifying music virality and creating successful hits. In this work, we analyze the temporal connection between musical virality and success. Specifically, our goal is to investigate the causal relationship between such concepts. By using global chart data from streaming platforms, we model time series to represent songs’ viral and success evolution over time and then perform two distinct analyses over them. First, we use Granger Causality to assess whether musical virality can forecast success and vice versa. Then we address the causal discovery task to qualitatively uncover the underlying causal relationships between them. The results suggest there is potential for using music virality to forecast future success and vice versa, although this does not apply to all songs. Despite their symbiotic relationship influenced by social platforms, our findings reinforce the contrast between music virality and success as different facets of music popularity.
IEEE AccessCOMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍:
IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest.
IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on:
Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals.
Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering.
Development of new or improved fabrication or manufacturing techniques.
Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.