The ubiquity of digital music consumption has made it possible to extract information about modern music that allows us to perform large scale analysis of stylistic change over time. In order to uncover underlying patterns in cultural evolution, we examine the relationship between the established characteristics of different genres and styles, and the introduction of novel ideas that fuel this ongoing creative evolution. To understand how this dynamic plays out and shapes the cultural ecosystem, we compare musical artifacts to their contemporaries to identify novel artifacts, study the relationship between novelty and commercial success, and connect this to the changes in musical content that we can observe over time. Using Music Information Retrieval (MIR) data and lyrics from Billboard Hot 100 songs between 1974-2013, we calculate a novelty score for each song's aural attributes and lyrics. Comparing both scores to the popularity of the song following its release, we uncover key patterns in the relationship between novelty and audience reception. Additionally, we look at the link between novelty and the likelihood that a song was influential given where its MIR and lyrical features fit within the larger trends we observed.
翻译:数字音乐消费的无处不在,使我们得以获取现代音乐信息,从而可以对时空变化进行大规模分析。为了发现文化演化的基本模式,我们审视了不同类型和风格的既定特征与引入有助于这种正在进行的创造性演进的新理念之间的关系。为了了解这种动态如何产生并塑造了文化生态系统,我们将音乐文物与同代音乐文物进行比较,以识别新手工艺品,研究新手与商业成功之间的关系,并将之与我们随着时间的推移可以观察到的音乐内容的变化联系起来。我们利用1974-2013年期间比尔板热100歌曲的音乐信息检索数据与歌词,我们计算每首歌曲的音义属性和歌词的新手谱。将这首歌的分数与歌曲发行后的流行程度结合起来,我们发现新手和观众接待之间的关系的关键模式。此外,我们审视了新手和歌曲具有影响力的可能性之间的联系,因为音乐的MIR和语言特征适合我们观察到的大趋势。</s>