Abstract
Social scientists address some of the most pressing issues of society such as health and wellness, government processes and citizen reactions, individual and collective knowledge, working conditions and socio-economic processes, and societal peace and violence. In an effort to understand these and many other consequential issues, social scientists invest substantial resources to collect large quantities of data, much of which are not fully explored. This chapter proffers the argument that privacy protection and responsible use are not the only ethical considerations related to data mining social data. Given (1) the substantial resources allocated and (2) the leverage these "big data" give on such weighty issues, this chapter suggests social scientists are ethically obligated to conduct comprehensive analysis of their data. Data mining techniques provide pertinent tools that are valuable for identifying attributes in large data sets that may be useful for addressing important issues in the social sciences. By using these comprehensive analytical processes, a researcher may discover a set of attributes that is useful for making behavioral predictions, validating social science theories, and creating rules for understanding behavior in social domains. Taken together, these attributes and values often present previously unknown knowledge that may have important applied and theoretical consequences for a domain, social scientific or otherwise. This chapter concludes with examples of important social problems studied using various data mining methodologies including ethical concerns.
| Original language | English (US) |
|---|---|
| Title of host publication | Ethical Data Mining Applications for Socio-Economic Development |
| Publisher | IGI Global |
| Pages | 131-147 |
| Number of pages | 17 |
| ISBN (Electronic) | 9781466640795 |
| ISBN (Print) | 1466640782, 9781466640788 |
| DOIs | |
| State | Published - May 31 2013 |
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ASJC Scopus subject areas
- Computer Science(all)
- Economics, Econometrics and Finance(all)
- Business, Management and Accounting(all)
Cite this
Social science data Analysis : The ethical imperative. / Scime, Anthony; Murray, Gregg R.
Ethical Data Mining Applications for Socio-Economic Development. IGI Global, 2013. p. 131-147.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Social science data Analysis
T2 - The ethical imperative
AU - Scime, Anthony
AU - Murray, Gregg R.
PY - 2013/5/31
Y1 - 2013/5/31
N2 - Social scientists address some of the most pressing issues of society such as health and wellness, government processes and citizen reactions, individual and collective knowledge, working conditions and socio-economic processes, and societal peace and violence. In an effort to understand these and many other consequential issues, social scientists invest substantial resources to collect large quantities of data, much of which are not fully explored. This chapter proffers the argument that privacy protection and responsible use are not the only ethical considerations related to data mining social data. Given (1) the substantial resources allocated and (2) the leverage these "big data" give on such weighty issues, this chapter suggests social scientists are ethically obligated to conduct comprehensive analysis of their data. Data mining techniques provide pertinent tools that are valuable for identifying attributes in large data sets that may be useful for addressing important issues in the social sciences. By using these comprehensive analytical processes, a researcher may discover a set of attributes that is useful for making behavioral predictions, validating social science theories, and creating rules for understanding behavior in social domains. Taken together, these attributes and values often present previously unknown knowledge that may have important applied and theoretical consequences for a domain, social scientific or otherwise. This chapter concludes with examples of important social problems studied using various data mining methodologies including ethical concerns.
AB - Social scientists address some of the most pressing issues of society such as health and wellness, government processes and citizen reactions, individual and collective knowledge, working conditions and socio-economic processes, and societal peace and violence. In an effort to understand these and many other consequential issues, social scientists invest substantial resources to collect large quantities of data, much of which are not fully explored. This chapter proffers the argument that privacy protection and responsible use are not the only ethical considerations related to data mining social data. Given (1) the substantial resources allocated and (2) the leverage these "big data" give on such weighty issues, this chapter suggests social scientists are ethically obligated to conduct comprehensive analysis of their data. Data mining techniques provide pertinent tools that are valuable for identifying attributes in large data sets that may be useful for addressing important issues in the social sciences. By using these comprehensive analytical processes, a researcher may discover a set of attributes that is useful for making behavioral predictions, validating social science theories, and creating rules for understanding behavior in social domains. Taken together, these attributes and values often present previously unknown knowledge that may have important applied and theoretical consequences for a domain, social scientific or otherwise. This chapter concludes with examples of important social problems studied using various data mining methodologies including ethical concerns.
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U2 - 10.4018/978-1-4666-4078-8.ch007
DO - 10.4018/978-1-4666-4078-8.ch007
M3 - Chapter
AN - SCOPUS:84944686506
SN - 1466640782
SN - 9781466640788
SP - 131
EP - 147
BT - Ethical Data Mining Applications for Socio-Economic Development
PB - IGI Global
ER -