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Big data ethics, also known simply as data ethics, refers to systemizing, defending, and recommending concepts of right and wrong conduct in relation to data, in particular personal data. [1] Since the dawn of the Internet the sheer quantity and quality of data has dramatically increased and is continuing to do so exponentially.
The American Psychological Association (APA) Ethical Principles of Psychologists and Code of Conduct (for short, the Ethics Code, as referred to by the APA) includes an introduction, preamble, a list of five aspirational principles and a list of ten enforceable standards that psychologists use to guide ethical decisions in practice, research ...
Experimenter's or expectation bias, the tendency for experimenters to believe, certify, and publish data that agree with their expectations for the outcome of an experiment, and to disbelieve, discard, or downgrade the corresponding weightings for data that appear to conflict with those expectations. [33]
The concept of "Business Model Transparency" in online services refers to the degree to which companies disclose the nature of data collection and its monetization. While this transparency doesn't directly influence user adoption of a service, research indicates that it becomes a crucial differentiator in the competitive digital landscape.
The Australian Library Journal states proponents for censorship in libraries, the practice of librarians deciphering which books/ resources to keep in their libraries, argue the act of censorship is an ethical way to provide information to the public that is considered morally sound, allowing positive ethics instead of negative ethics to be ...
economic data suggest that much of the rise in obesity can be attributed to an increase in caloric intake, as opposed to a change in energy expenditure (David M. Cutler et al. 2003). Consequently, government policy has often attempted to reduce obesity by influencing
Descriptive ethics, also known as comparative ethics, is the study of people's beliefs about morality. [1] It contrasts with prescriptive or normative ethics , which is the study of ethical theories that prescribe how people ought to act, and with meta-ethics , which is the study of what ethical terms and theories actually refer to.
The Five Safes is a framework for helping make decisions about making effective use of data which is confidential or sensitive. It is mainly used to describe or design research access to statistical data held by government and health agencies, and by data archives such as the UK Data Service. [1]