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Risk potential of words based on 20Q-games

Leading article: 2019. April (MIAU No. 248.)
(Previous article: MIAU No. 247.)

Keywords: measuring of abstraction levels, freedom of speech, measuring of misunderstanding potentials of human sentences

This paper shows a calculation scheme for deriving risk potential of arbitrary human abstractions/words (like horse and/or knowledge) being guessed by a lot of human beings in order to demonstrate that the level of abstractions and therefore the level of risk potentials caused through misunderstandings can be measured based on the subjective/intuitive answers of human being to question of an online 20Q-robot. The highlighted examples could be characterized with a set of variables in a parallel way where each variable is capable of evaluating risks. Therefore, an aggregated risk potential of each word should be derived in frame of an antidiscriminative model where the objects are the words, the attributes are the description variables and the cells are the descriptive values as such. The similarity-based modelling needs hardly mathematical competences, yet it is able to estimate the appropriate risk potential for each human abstraction. The sentences contain words, so the risk potential of sentences can also be derived. The speakers having (constantly or increasingly) high-level risks through the used words in their sentences should not have the possibility of the freedom of speech?! More (DOC) *** More (PDF)

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