Abstract
Streaming services are becoming the primary source for media consumption. Particularly platforms like SoundCloud, where users can disseminate user-generated content (UGC), are gaining relevance. To shed light into the drivers which positively influence the number of listeners, we draw from marketing literature related to depictions of people, which suggests that human faces can contribute to a higher degree of brand liking or brand identification. Thereupon, we propose a hypothesis which suggests that human faces on cover arts likewise generate more plays. We follow a data science approach using 1754 observations from SoundCloud and apply Google's facial recognition API (Vision AI) to examine the impact of human faces on music's success. We provide initial evidence that tracks with a human-face cover art yield in a higher number of plays compared to tracks with a cover art without a human face.
Original language | English |
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Title of host publication | 26th Americas Conference on Information Systems, AMCIS 2020 |
Publisher | Association for Information Systems |
ISBN (Electronic) | 9781733632546 |
Publication status | Published - 2020 |
Event | 26th America's Conference of Information Systems, AMCIS 2020 - Virtual conference, Salt Lake City, Virtual, United States Duration: 10 Aug 2020 → 12 Aug 2020 Conference number: 26 |
Publication series
Name | 26th Americas Conference on Information Systems, AMCIS 2020 |
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Conference
Conference | 26th America's Conference of Information Systems, AMCIS 2020 |
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Abbreviated title | AMCIS 2020 |
Country/Territory | United States |
City | Salt Lake City, Virtual |
Period | 10/08/20 → 12/08/20 |
Keywords
- Cover Arts
- Data Science
- Human Faces
- MGC
- SoundCloud
- Streaming
- UGC
- Vision AI