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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 ...
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]
The gathering of personally identifiable information (PII) refers to the collection of public and private personal data that can be used to identify individuals for various purposes, both legal and illegal. PII gathering is often seen as a privacy threat by data owners, while entities such as technology companies, governments, and organizations ...
A privacy attack is the exploitation of an opportunity for someone to identify a study participant based on public research data. [2] The way that this might work is that researchers collect data, including confidential identifying data, from study participants. This produces an identified dataset. [2]
In most social experiments, the subjects are unaware that they are partaking in an experiment as to prevent bias; however, this may bring ethical issues (see ethics section). Several "actors" or "plants" are used to study social behaviors. Companies have also used social experiments to collect consumer data and their opinions about a product or ...