Big Data as a methodology for social research: Proposals, disclaimers, and dilemmas from sociology

被引:0
作者
Bienvenido, Hector Puente [1 ]
Gazquez, Diego de Haro [1 ]
Maceiras, Sergio D'Antonio [2 ]
机构
[1] Univ Complutense Madrid, Madrid, Spain
[2] Univ Politecn Madrid, Madrid, Spain
来源
TEKNOKULTURA: REVISTA DE CULTURA DIGITAL Y MOVIMIENTOS SOCIALES | 2023年 / 20卷 / 02期
关键词
databases; digital methods; informational capitalism; open data; science and society; CONTROVERSIES; CRISIS;
D O I
10.5209/tekn.83875
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
The widely cited article 'The coming crisis of empirical sociology' foresaw an imminent problem of empirical sociology: its inability to incorporate the 'transactional' data of cognitive capitalism into its research practice. While the progressive expansion of technological intermediation in social interaction processes has generated an important techno-scientific barrier, the issue is, above all, economic and political, relegating sociology (and its methods) to the rear of social and market research. In this article, we develop a kind of archaeology of the construction of the concept of 'Big Data', exploring the main methodological alternatives proposed by the social sciences and the new perspectives that have emerged as a result of the concentration of information in a smaller number of companies.
引用
收藏
页码:175 / 182
页数:8
相关论文
共 47 条
[1]  
[Anonymous], 2013, Big data: A revolution that will transform how we live, work, and think
[2]  
Boletin Oficial del Estado, 2020, BOEB202042528
[3]  
Boletin Oficial del Estado, 2021, BOEB202125336
[4]  
Boletin Oficial del Estado, 2021, BOEB202118242
[5]   CRITICAL QUESTIONS FOR BIG DATA Provocations for a cultural, technological, and scholarly phenomenon [J].
Boyd, Danah ;
Crawford, Kate .
INFORMATION COMMUNICATION & SOCIETY, 2012, 15 (05) :662-679
[6]   After the crisis? Big Data and the methodological challenges of empirical sociology [J].
Burrows, Roger ;
Savage, Mike .
BIG DATA & SOCIETY, 2014, 1 (01)
[7]  
Chowdhury Rumman, 2021, Examining algorithmic amplification of political content on twitter
[8]   How relevant is volatility forecasting for financial risk management? [J].
Christoffersen, PF ;
Diebold, FX .
REVIEW OF ECONOMICS AND STATISTICS, 2000, 82 (01) :12-22
[9]   Manifesto of computational social science [J].
Conte, R. ;
Gilbert, N. ;
Bonelli, G. ;
Cioffi-Revilla, C. ;
Deffuant, G. ;
Kertesz, J. ;
Loreto, V. ;
Moat, S. ;
Nadal, J. -P. ;
Sanchez, A. ;
Nowak, A. ;
Flache, A. ;
San Miguel, M. ;
Helbing, D. .
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2012, 214 (01) :325-346
[10]  
Diebold F.X., 2012, PIER working paper no. 12-037, DOI [10.2139/ssrn.2152421, DOI 10.2139/SSRN.2152421]