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Ethical Data Mining and Social Science Data Exploration and Description: Scope and Limitations in Social Science Research
Abstract
As data mining is the process of discovering significant, valuable, and interesting relationships in large and complex volumes of data (especially in data-enriched areas of socio-economic domains and in this socio-economic aspect of a society), data mining applications essentially act as effective instruments for providing support for measuring socio-economic pattern in a society. Although social and ethical matters are nowadays concerns to the society of which people are the only elements, in the days of technology innovations, computers are being manipulated with programs to act more like people, and eventually several social and ethical matters come into focus related to computer programming, or artificial intelligence. Researchers from nearly every social science discipline have found themselves in the position of simultaneously evaluating many questions, testing many hypotheses, or comparing many point estimates. In program evaluation, this arises, for instance, when comparing the impact of several different policy interventions; comparing the status of social indicators like test scores, poverty rates, teen pregnancy rates etc. across multiple schools, states, or countries; examining whether treatment effects vary meaningfully across different sub groups of the population; or examining the impact of a program on many different outcomes. Hence, the relevance of positioning of this chapter in a book of ethical data mining applications for socio-economic development of a community, society, or country fits well as the ethical data mining in social science research is crucial as such data information is highly useful in testing many of the hypotheses of economic or socio-economic in nature.
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