On the limits of Big Data in social sciences

被引:1
|
作者
Maestro Cano, Ignacio C. [1 ]
机构
[1] Univ Nacl Educ Distancia, Ctr Asociado Francisco Tomas y Valiente, C Casa Misericordia 34, Valencia 46014, Spain
来源
SOCIOLOGIA Y TECNOCIENCIA | 2019年 / 9卷 / 02期
关键词
Big Data; social networks; quantitative techniques; epistemology; sociology;
D O I
10.24197/st.2.2019.77-98
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
Big Data has burst as a promising technological infrastructure, as a guarantee for great advances in social sciences. The massive data collection about habits and characteristics of mobile device users has been suggested as the key to reach an accurate description of the society and its individuals. However, the enthusiasm concerning this new data source and its interconnection capability (social networks, online shopping, etc.) could suppose a noninsignificant threat to a suitable scientific progress, raising some kind of technological Neoqueteletism, and making the world's "datification" be mistaken for world's comprehension. So, there is a risk of transferring the attention to the data alone ignoring context and methodology. Big Data can be a remarkable contribution; however, any misunderstanding may be seriously misleading.
引用
收藏
页码:77 / +
页数:23
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