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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.
Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]
Digital sociology is connected with data and data emotions [20] Data emotions happens when people use digital technologies that can effect their decision-making skills or emotions. Social media platforms collects users data while also effecting their emotional state of mind, which causes either solidarity or social engagement amongst users.
The sociology of quantification is the investigation of quantification as a ... an ethics of quantification would naturally descend from a ... “Data Justice Lab ...
This change was primarily due to the impact of big data and the computational opportunities afforded to predictive analytics. Datafication is not the same as digitization, which takes analog content—books, films, photographs—and converts it into digital information, a sequence of ones and zeros that computers can read.
Critical data studies is the exploration of and engagement with social, cultural, and ethical challenges that arise when working with big data. It is through various unique perspectives and taking a critical approach that this form of study can be practiced. [ 74 ]
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The human-driven data economy is a fair and functioning data economy in which data is controlled and used fairly and ethically in a human-oriented manner. [8] [9] The human-driven data economy is linked to the MyData Movement and is a human-centered approach to personal data management. [10]