An In-Depth Analysis of Occasional and Recurring Collaborations in Online Music Co-creation
| Autor: | Giuseppe Iaffaldano, Leonardo Trisolini, Fabio Calefato, Filippo Lanubile |
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| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Focus (computing) Computer science media_common.quotation_subject Computer Science - Human-Computer Interaction General Engineering Popularity Human-Computer Interaction (cs.HC) World Wide Web Metadata Upload Ranking Co-creation Online music Reputation media_common |
| Zdroj: | ACM Transactions on Social Computing. 4:1-40 |
| ISSN: | 2469-7826 2469-7818 |
| Popis: | The success of online creative communities depends on the will of participants to create and derive content in a collaborative environment. Despite their growing popularity, the factors that lead to remixing existing content in online creative communities are not entirely understood. In this article, we focus onoverdubbing, a dyadic collaboration in which one author mixes one new track with an audio recording previously uploaded by another. We study musicians who collaborate regularly, frequently overdubbing each other's songs. Building on frequent pattern–mining techniques, we develop an approach to seek instances of such recurring collaborations in the Songtree community. We identify 43 instances involving two or three members with a similar reputation in the community. Our findings highlight common and different remix factors in occasional and recurring collaborations. Specifically, fresh and less mature songs are generally overdubbed more. Exchanging messages and invitations to collaborate are significant factors only for songs generated through recurring collaborations, whereas author reputation (ranking) and applying metadata tags to songs have a positive effect only in occasional collaborations. |
| Databáze: | OpenAIRE |
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