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Big data ethics are different from information ethics because the focus of information ethics is more concerned with issues of intellectual property and concerns relating to librarians, archivists, and information professionals, while big data ethics is more concerned with collectors and disseminators of structured or unstructured data such as ...
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. [ 1 ]
Data activism allows individuals to quantify a specific issue. [6] By collecting data for a particular purpose, it allows data activists to quantify and expose specific issues. As data infrastructures and data analytics grow, data activists can use evidence from data-driven science to support claims about social issues. [8] [2]
A 2009 systematic review and meta-analysis of survey data found that about 2% of scientists admitted to falsifying, fabricating, or modifying data at least once. [ 3 ] Incidents should only be included in this list if the individuals or entities involved have their own Wikipedia articles, or in the absence of an article, where the misconduct ...
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]
Ethical concerns regarding international security, surveillance, and the right to privacy are on the rise. [23] The issues of security and privacy commonly overlap in the field of information, due to the interconnectedness of online research and the development of Information Technology (IT). [24]
Reddit went public in 2024 and is a more popular, profitable site than ever in its 20-year history. BI spoke to 11 Reddit employees about the new challenges and maintaining its beloved culture.
The book received widespread praise for elucidating the consequences of reliance on big data models for structuring socioeconomic resources. Clay Shirky from The New York Times Book Review said "O'Neil does a masterly job explaining the pervasiveness and risks of the algorithms that regulate our lives," while pointing out that "the section on solutions is weaker than the illustration of the ...