Data Scraping YouTube for the Study of Lieder Reception

Author:

Scott Rachel E.

Abstract

A growing body of literature has shifted aesthetic attention from composition to performance, or the performing activity, and asserts that the act of performance creates meaning.1 Scholars have emphasized differences between the passive consumption and active making of – or even listening to – music.2 As I sought to understand the impact of performance on Alma Mahler's legacy, I identified the need to gather as much data as possible on who, what, where, when, why, and how her songs were performed. This need led me to evaluate the metadata associated with recordings of Alma Mahler's songs in the WorldCat union catalogue and the video sharing platform YouTube. Recent studies have shown the utility of leveraging big data for musicology, although few scholars have done so to investigate reception history. This essay outlines one approach to data scraping YouTube with emphasis on the value to those researching recent Lieder reception, and in doing so highlights some of the promise and limitations associated with web scraping.

Publisher

Cambridge University Press (CUP)

Subject

Music

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3