‘End of Theory’ in the Era of Big Data: Methodological Practices and Challenges in Social Media Studies

A. Masso, Maris Männiste, A. Siibak
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引用次数: 1

Abstract

emerging digital data sources provide opportunities for explaining social processes, but also challenge knowledge production practices within social sciences. this article contributes to the ‘end of theory’ discussions, which have intensified in the social sciences since the widening practice of big data and computational methods. Adopting a systematic literature review of 120 empirical articles through a combined quantitative and qualitative approach, this article strives to contribute to the ongoing discussions on the epistemological shifts in social media big data (smBD) studies. This study offers an insight into the development of analytical methods and research practices in smBD studies during their rapid growth
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大数据时代的“理论终结”:社交媒体研究的方法论实践与挑战
新兴的数字数据源为解释社会过程提供了机会,但也挑战了社会科学中的知识生产实践。这篇文章有助于“理论终结”的讨论,自从大数据和计算方法的广泛应用以来,社会科学界的讨论愈演愈烈。本文通过定量和定性相结合的方法,对120篇实证文章进行了系统的文献综述,试图为正在进行的关于社交媒体大数据研究中认识论转变的讨论做出贡献。这项研究深入了解了smBD研究快速发展过程中分析方法和研究实践的发展
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
10
审稿时长
30 weeks
期刊介绍: Acta Baltica Historiae et Philosophiae Scientiarum sees its mission in offering publishing opportunities for Baltic and non-Baltic scholars in the field of the history and philosophy of natural and social sciences (including legal studies) to promote and further international cooperation between scholars of different countries in this field.
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