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Faster than the speed of print: Reconciling ‘big data’ social media analysis and academic scholarship

机译：比印刷速度快：协调“大数据”社交媒体分析和学术奖学金

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摘要

The promise of ‘big data’ has generated a significant deal of interest in the development of new approaches to research in the humanities and social sciences, as well as a range of important critical interventions which warn of an unquestioned rush to ‘big data’. Drawing on the experiences made in developing innovative ‘big data’ approaches to social media research, this paper examines some of the repercussions for the scholarly research and publication practices of those researchers who do pursue the path of ‘big data’–centric investigation in their work. As researchers import the tools and methods of highly quantitative, statistical analysis from the ‘hard’ sciences into computational, digital humanities research, must they also subscribe to the language and assumptions underlying such ‘scientificity’? If so, how does this affect the choices made in gathering, processing, analysing, and disseminating the outcomes of digital humanities research? In particular, is there a need to rethink the forms and formats of publishing scholarly work in order to enable the rigorous scrutiny and replicability of research outcomes?
机译：“大数据”的承诺已引起人们对人文社会科学研究新方法的开发的极大兴趣，以及一系列重要的重要干预措施，这些干预措施无疑引起了对“大数据”的热切关注。借鉴在开发创新的“大数据”方法进行社交媒体研究中取得的经验，本文研究了那些追求“大数据”路径的研究者在学术研究和出版实践中的一些影响-以他们为中心的调查工作。当研究人员将高度定量的统计分析工具和方法从“硬性”科学引入到计算，数字人文科学研究中时，他们是否还必须支持这种“科学性”所基于的语言和假设？如果是这样，这将如何影响在收集，处理，分析和传播数字人文研究成果方面做出的选择？特别是，是否需要重新考虑出版学术著作的形式和格式，以便能够对研究成果进行严格的审查和复制？

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