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RE: Modeling information in an information rating system

in #hivemind3 years ago

Wow!

You chose a rather difficult topic to comment on! For me the truth is that it is too fickle and depends solely on subjective factors.

Everything will depend on how much confidence you generate who gives the information and how that is supported.

We do pose a very obvious situation, when we read a news headline there are factors that will help us decide how accurate the information is for us. To read "WALTER LOTUS SHOWS SWITZERLAND AS A TECHNOLOGICAL POWER", we should know who Walter is and what he symbolizes for us. If we have an emotional attachment to Walter's excellent handling of the economy or if it seems to us that he is an egocentric businessman who only sells us cheap advertisements.

The veracity that we grant to that statement depends on it. It is my humble opinion! 🤫🤭☺️ On the rest that you raise, because I do not know too much about programming or computing, but I found the information very nutritious. 😉

Escogiste un tema bastante difícil para opinar!
Para mí la verdad que es demasiado voluble y depende únicamente de factores sujetivos. Todo va a depender de qué tanta confianza te genere quién da la información y cómo se soporte eso.
Sí planteamos una situación muy evidente, cuando leemos un titular de una noticia hay factores que nos ayudarán a decidir qué tan veraz es la información para nosotros.
A leer "WALTER LOTUS MUESTRA A SUIZA COMO UNA POTENCIA TECNOLÓGICA", tendríamos que saber quién es Walter y que simboliza para nosotros. Si tenemos un apego emocional por el excelente manejo de Walter en la economía o si nos parece que es un egocéntrico empresario que solo nos vende propagandas baratas. De ello dependerá la veracidad que le otorgamos a ese enunciado.
Es mi humilde opinión! 🤫🤭☺️
Sobre lo demás que planteas, pues no sé demasiado de programación o informática, pero me pareció muy nutritiva la información. 😉

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Truth itself isn't subjective, but our methods of rating truth are mostly subjective. But computers can help us with subjective computations. For example, finding a "good" article on the web is subjective, but search and AI software help us find articles we would personally be interested in and are therefore more likely to rate as "good".