An In-Depth Analysis of Occasional and Recurring Collaborations in Online Music Co-creation

Fabio Calefato, G. Iaffaldano, Leonardo Trisolini, F. Lanubile
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引用次数: 1

Abstract

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 on overdubbing, 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.
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网络音乐共同创作中偶发与重复合作的深度分析
在线创意社区的成功取决于参与者在协作环境中创造和派生内容的意愿。尽管它们越来越受欢迎,但导致在线创意社区重新混合现有内容的因素并没有完全被理解。在本文中,我们将重点介绍配音,这是一种双元合作,其中一位作者将一首新曲目与另一位作者之前上传的录音混合在一起。我们研究那些经常合作的音乐家,他们经常为彼此的歌曲配音。基于频繁的模式挖掘技术,我们开发了一种在Songtree社区中寻找这种重复协作实例的方法。我们确定了43个案例,涉及两到三名在社区中享有相似声誉的成员。我们的研究结果突出了偶尔和反复合作中常见和不同的混音因素。具体来说,新鲜和不太成熟的歌曲通常会被更多地配音。交换消息和邀请合作只是反复合作产生的歌曲的重要因素,而作者声誉(排名)和对歌曲应用元数据标签只有在偶尔的合作中才有积极的影响。
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