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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.
This is where I think there is a poignant opportunity for those collecting data to more ethically partner with communities, activists, and organizers to create equitable and impactful programming ...
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
When collecting data and publishing results, I can refer to the specific actions of editors or quote them using their username. I can also publish information they have made public on userpage, their edit/log history, and the results of various programs that analyse publicly available data like Interiot's edit counter.
Netnography and content analysis differed in the adoption of computational methods for collecting semi-automated data, analyzing data, recognizing words and visualizing data (Kozinets, 2016). However, some scholars dispute netnography's distance from content analysis, preferring to assert that it is also a content analytic technique ( Langer ...
The advent of social media has recently led to new online research methods, for example data mining of large datasets from such media [6] or web-based experiments within social media that are entirely under the control of researchers, e.g. those created with the software Social Lab. [7]
Research ethics is a discipline within the study of applied ethics. Its scope ranges from general scientific integrity and misconduct to the treatment of human and animal subjects. The social responsibilities of scientists and researchers are not traditionally included and are less well defined.
Data Politics shares traits of each approach in that the core values of data politics are open government data, but data politics also concerns data collection by governments, private corporations, and platforms. An example of proactive data politics was the protest of the elimination of the long form census.