The empiricist’s challenge: Asking meaningful questions in political science in the age of big data
The empiricist’s challenge: Asking meaningful questions in political science in the age of big data
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经验主义者的挑战：在大数据时代提出政治学中有意义的问题
DOI：
10.1080/19331681.2017.1312187
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发表时间：
2017
影响因子：
2.6
通讯作者：
Yannis Theocharis
中科院分区：
文献类型：
--
作者：
Andreas Jungherr;Yannis Theocharis
数字服务的使用不断增长，为社会科学家提供了不断扩大的数据库，可能为人类行为和社会系统提供有价值的见解。这通常与术语“大数据”和“计算社会科学”联系在一起。社会科学家认为，使用这些数据将使我们能够更好地理解社会、政治和经济生活。然而，这种新的数据类型不仅带来了希望，也带来了挑战。其中包括制定数据收集、准备、分析和报告的标准；在社会科学现有研究体系内的既定理论之间建立更系统的联系；从概念证明转向系统的发展和假设测试。在本文中，我们详细描绘了这些承诺和挑战，并介绍了本期特刊中收集的五篇极具创新性的文章。这些文章令人印象深刻地说明了数字痕迹数据在社会科学中的潜力，同时也意识到它的缺陷。
ABSTRACT The continuously growing use of digital services has provided social scientists with an expanding reservoir of data, potentially holding valuable insights into human behavior and social systems. This has often been associated with the terms “big data” and “computational social science.” Using such data, social scientists have argued, will enable us to better understand social, political, and economic life. Yet this new data type comes not only with promises but with challenges as well. These include developing standards for data collection, preparation, analysis, and reporting; establishing more systematic links between established theories within the existing body of research in the social sciences; and moving away from proofs-of-concepts toward the systematic development and testing of hypotheses. In this article, we map these promises and challenges in detail and introduce five highly innovative contributions collected in this special issue. These articles illustrate impressively the potential of digital trace data in the social science all the while remaining conscious of its pitfalls.
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DOI：
10.1111/jcc4.12143
发表时间：
2013
期刊：
J. Comput. Mediat. Commun.
影响因子：
--
作者：
Jungherr;Schoen;Jürgens
通讯作者：
Jürgens
影响因子：
7.9
作者：
Jungherr, Andreas
通讯作者：
Jungherr, Andreas