Computer Science

How ethics combine with big data: a bibliometric analysis

M. Kuc-czarnecka and M. Olczyk

Marta Kuc-Czarnecka and Magdalena Olczyk conducted a bibliometric analysis revealing that the exploration of ethical concerns in Big Data is surprisingly sparse in scientific literature, showing slow growth with a primary focus on health and technology.

00:00

Playback language: English

Index

Abstract

This paper implements a bibliometric analysis to investigate the development of ethical concerns in the field of Big Data. The investigation covers articles from the Web of Science Core Collection Database (WoS) published between 1900 and July 2020. A sample size of 892 research papers was evaluated using HistCite and VOSviewer software. The results reveal that the topic is relatively poorly represented in the scientific literature with slow growth of interest, and ethical issues in Big Data are mainly discussed in health and technology.

Publisher

Humanities & Social Sciences Communications

Published On

Nov 04, 2020

Authors

Marta Kuc-Czarnecka, Magdalena Olczyk

Related Publications

Explore these studies to deepen your understanding of the subject.

Education

Education big data and learning analytics: a bibliometric analysis

S. A. Samsul, N. Yahaya, et al.

Medicine and Health

Validity of Scottish predictors of child obesity (age 12) for risk screening in mid-childhood: a secondary analysis of prospective cohort study data—with sensitivity analyses for settings without various routinely collected predictor variables

G. Carrillo-balam, L. Doi, et al.

Engineering and Technology

A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions

V. Fthenakis, G. Yetman, et al.

$A deep convolutional neural network for real-time full profile analysis of big powder diffraction data$

Chemistry

A deep convolutional neural network for real-time full profile analysis of big powder diffraction data

H. Dong, K. T. Butler, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny