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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 ...
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]
Datafication is a technological trend turning many aspects of our life into data [1] [2] which is subsequently transferred into information realised as a new form of value. [3] Kenneth Cukier and Viktor Mayer-Schönberger introduced the term datafication to the broader lexicon in 2013. [ 4 ]
In November 2022, Quizlet announced a new CEO, Lex Bayer, the former CEO of Starship Technologies. [23] In March 2023, Quizlet started to incorporate AI features with the release "Q-Chat", a virtual AI tutor powered by OpenAI's ChatGPT API. [24] [25] [26] Quizlet launched four additional AI powered features in August 2023 to assist with student ...
Big data is defined as the algorithm-based analysis of large-scale, distinct digital data for purposes of prediction, measurement, and governance. [6] [7] This involves processing vast amounts of information from various sources, like social media, sensors, or online transactions, using advanced computer programs (algorithms).
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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.
Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.