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Anonymity is seen as a technique, or a way of realizing, a certain other values, such as privacy, or liberty. Over the past few years, anonymity tools used on the dark web by criminals and malicious users have drastically altered the ability of law enforcement to use conventional surveillance techniques. [2] [3]
[1] [4] In particular, it can be difficult for researchers to ensure participant anonymity. [5] One study of 112 published educational technology research papers was able to identify participant identities in 10 of those papers; the majority of these studies had gathered this data under conditions of anonymity. [5]
Rather, anonymity and immersion in the group can enhance the salience of social identity and thereby depersonalize social perceptions of others and the self. SIDE argues this occurs principally because (visual) anonymity obscures individual features and interpersonal differences.
In social science research social-desirability bias is a type of response bias that is the tendency of survey respondents to answer questions in a manner that will be viewed favorably by others. [1] It can take the form of over-reporting "good behavior" or under-reporting "bad" or undesirable behavior.
In requesting anonymity, the juror cited these security measures, the allegations of gang activity and the high public interest surrounding the trial and asked that neither name nor gender be ...
Research by data scientists at Imperial College in London and UCLouvain in Belgium, [9] as well as a ruling by Judge Michal Agmon-Gonen of the Tel Aviv District Court, [10] highlight the shortcomings of "Anonymisation" in today's big data world. Anonymisation reflects an outdated approach to data protection that was developed when the ...
Research into de-identification is driven mostly for protecting health information. [15] Some libraries have adopted methods used in the healthcare industry to preserve their readers' privacy. [15] In big data, de-identification is widely adopted by individuals and organizations. [8]
Research integrity or scientific integrity is an aspect of research ethics that deals with best practice or rules of professional practice of scientists.. First introduced in the 19th century by Charles Babbage, the concept of research integrity came to the fore in the late 1970s.