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Circular reporting, or false confirmation, is a situation in source criticism where a piece of information appears to come from multiple independent sources, but in reality comes from only one source. [1] [2] In many cases, the problem happens mistakenly through sloppy reporting or intelligence-gathering. However, the situation can also be ...
The most common superscript digits (1, 2, and 3) were included in ISO-8859-1 and were therefore carried over into those code points in the Latin-1 range of Unicode. The remainder were placed along with basic arithmetical symbols, and later some Latin subscripts, in a dedicated block at U+2070 to U+209F.
Motivated by such relations, a plethora of related and competing quantities have been defined. For example, David Ellerman's analysis of a "logic of partitions" defines a competing measure in structures dual to that of subsets of a universal set. [14] Information is quantified as "dits" (distinctions), a measure on partitions.
Persuasive definition – purporting to use the "true" or "commonly accepted" meaning of a term while, in reality, using an uncommon or altered definition. (cf. the if-by-whiskey fallacy) Ecological fallacy – inferring about the nature of an entity based solely upon aggregate statistics collected for the group to which that entity belongs. [27]
Examples include doxing, revenge porn, and editing videos to remove important context or content. [23] Misinformation is information that was originally thought to be true but was later discovered not to be true, and often applies to emerging situations in which there is a lack of verifiable information or changing scientific understanding. [24]
Examples of both are provided by the ways in which they are both used in creating the content of Wikipedia, for example (see Wikipedia:Transclusion and Wikipedia:Substitution for more information). Substituted static copies introduce a different set of considerations for version control than transclusion does, but they are sometimes necessary.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Examples of this include individual wisdom, experience, insight, motor skill, and intuition. [1] An example of "explicit" information that can be recorded, conveyed, and understood by the recipient is the knowledge that London is in the United Kingdom.