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Social and Behavioral Sciences Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Remembering Me: Big Data, Individual Identity, And The Psychological Necessity Of Forgetting, Jacquelyn A. Burkell
Remembering Me: Big Data, Individual Identity, And The Psychological Necessity Of Forgetting, Jacquelyn A. Burkell
FIMS Publications
Each of us has a personal narrative: a story that defines us, and one that we tell about ourselves to our inner and outer worlds. A strong sense of identity is rooted in a personal narrative that has coherence and correspondence (Conway, 2005): coherence in the sense that the story we tell is consistent with and supportive of our current version of ‘self’; and correspondence in the sense that the story reflects the contents of autobiographical memory and the meaning of our experiences. These goals are achieved by a reciprocal interaction of autobiographical memory and the self, in which memories …
The Paradox Of Privacy: Revisiting A Core Library Value In An Age Of Big Data And Linked Data, Grant D. Campbell, Scott Cowan
The Paradox Of Privacy: Revisiting A Core Library Value In An Age Of Big Data And Linked Data, Grant D. Campbell, Scott Cowan
FIMS Publications
Protecting user privacy and confidentiality is fundamental to the ethics and practice of librarianship, and such protection constitutes one of eleven values in the American Library Association’s “Core Values of Librarianship” (2004). This paper addresses the concerns of protecting privacy in the library as they relate to library users who are defining, exploring, and negotiating their sexual identities with the help of the library’s information, programming, and physical facilities. In so doing, we enlist the aid of Garret Keizer, who, in Privacy (2012), articulates a fresh theory of the concept in light of American social life in the twenty-first century. …
Veracity Roadmap: Is Big Data Objective, Truthful And Credible?, Victoria Rubin, Tatiana Lukoianova
Veracity Roadmap: Is Big Data Objective, Truthful And Credible?, Victoria Rubin, Tatiana Lukoianova
FIMS Publications
This paper argues that big data can possess different characteristics, which affect its quality. Depending on its origin, data processing technologies, and methodologies used for data collection and scientific discoveries, big data can have biases, ambiguities, and inaccuracies which need to be identified and accounted for to reduce inference errors and improve the accuracy of generated insights. Big data veracity is now being recognized as a necessary property for its utilization, complementing the three previously established quality dimensions (volume, variety, and velocity), But there has been little discussion of the concept of veracity thus far. This paper provides a roadmap …