Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/71413

Seeing Humans in the Data: Ethical Blind Spots of Taiwan Academic Researchers in the Era of Behavioral Big Data

File Size Format  
0645.pdf 533.65 kB Adobe PDF View/Open

Item Summary

Title:Seeing Humans in the Data: Ethical Blind Spots of Taiwan Academic Researchers in the Era of Behavioral Big Data
Authors:Fell, Jan
Shmueli, Galit
Greene, Travis
Wang, Jyun-Cheng
Ray, Soumya
show 1 moreWu, Shu-Yuan
show less
Keywords:Strategy, Information, Technology, Economics, and Society (SITES)
bbd
behavioral big data
data science
gdpr
show 3 morehuman subjects
irb
research ethics
show less
Date Issued:05 Jan 2021
Abstract:The advent of Behavioral Big Data (BBD) has profoundly impacted research ethics. At the same time, academic disciplines with no experience in human subjects research increasingly make use of BBD datasets. In this first-of-its-kind study, we evaluate Taiwan academic researchers’ knowledge and awareness of data ethics using a series of four BBD-based hypothetical research scenarios. We uncover several data ethics blind spots affecting academic researchers. Through the results of this research we hope to strengthen academic researchers’ data ethics awareness and knowledge in the context of BBD, and provide suggestions for improving the ethics training of academic researchers conducting BBD studies. We also contribute a re-conceptualization of data ethics encompassing both traditional human subjects research ethics and new paradigms for the regulation of personal data, such as the General Data Protection Regulation (GDPR).
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/71413
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.793
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Strategy, Information, Technology, Economics, and Society (SITES)


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons