FUNCTIONAL APPLICATIONS OF BIG DATA AND DIGITAL TRANSFORMATION IN SOCIAL SCIENCES

This study aims to examine the impact of big data and digital transformation on research methods and applications in the social sciences. Big data surpasses traditional data collection and analysis processes, enabling social scientists to work with larger and more diverse datasets. In this context, the study thoroughly explores big data analytics methods and their application in the social sciences. Furthermore, it addresses how data collection and analysis processes have been restructured through digital transformation, as well as the opportunities and ethical challenges presented by big data. The findings suggest that big data and digital transformation contribute to making research processes in the social sciences more dynamic, comprehensive, and interdisciplinary. In conclusion, big data and digital transformation offer both new research opportunities and significant ethical and methodological challenges for the social sciences.

Authors

Institutions

Publication Details

Journal
Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi
Published
2025-07-18
DOI
https://doi.org/10.54707/meric.1571990
Primary Topic
Cultural and Sociopolitical Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FUNCTIONAL APPLICATIONS OF BIG DATA AND DIGITAL TRANSFORMATION IN SOCIAL SCIENCES

Cansu Aksu
Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi
Cultural and Sociopolitical Studies
article

FUNCTIONAL APPLICATIONS OF BIG DATA AND DIGITAL TRANSFORMATION IN SOCIAL SCIENCES

Cansu Aksu
article en

Abstract

This study aims to examine the impact of big data and digital transformation on research methods and applications in the social sciences. Big data surpasses traditional data collection and analysis processes, enabling social scientists to work with larger and more diverse datasets. In this context, the study thoroughly explores big data analytics methods and their application in the social sciences. Furthermore, it addresses how data collection and analysis processes have been restructured through digital transformation, as well as the opportunities and ethical challenges presented by big data. The findings suggest that big data and digital transformation contribute to making research processes in the social sciences more dynamic, comprehensive, and interdisciplinary. In conclusion, big data and digital transformation offer both new research opportunities and significant ethical and methodological challenges for the social sciences.

Meriç Uluslararası Sosyal ve Stratejik Araştırmalar DergisiVol. 9(2)
Zonguldak Bülent Ecevit University (TR)
Openalex Percentile: Top 74%
Cultural and Sociopolitical Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.