Abstract
Owing to the prosperity of consumer generated media and user generated content, collaborative production (collaborative composition) of popular music by multiple people over a network has become common. However, there has been limited discussion on the collaborative production of lyrics (collaborative lyric writing), which is an important component of creating popular music. Collaborative lyric writing is a collaborative creative act, where words and sentences are conceived based on the vocabulary and experiences of each member. Therefore, it is important to support this process because it is expected to produce richer ideas than those produced by individuals. In this study, we propose a method to support collaborative lyric writing using the lyrics association maps (LAMs). These maps support collaborative lyric writing as a creative act by visualizing the process of the group’s lyric conception, facilitating the understanding of the entire lyrics for a song and the association and sharing of the lyrics.
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Yamashita, M., Satoh, K. (2022). Method of Lyric Association Based on Mind Mapping in Collaborative Lyric Writing of Popular Music. In: Barolli, L., Chen, HC., Enokido, T. (eds) Advances in Networked-Based Information Systems. NBiS 2021. Lecture Notes in Networks and Systems, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-030-84913-9_15
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DOI: https://doi.org/10.1007/978-3-030-84913-9_15
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