# Information about parameters using priors distributions [duplicate]

When using the "non-informative" prior $$\pi(\mu,\sigma)\propto\frac{1}{\sigma^2}$$ where $$\pi(\mu)\propto1$$ and $$\pi(\sigma^2)\propto\frac{1}{\sigma^2}$$

Where is the no information for the parameter?

and if would be informative prior, Where one would see the 'information' given?

I saw the definition on Wikipedia https://en.wikipedia.org/wiki/Prior_probability and there mentions 'An informative prior expresses specific, definite $$\color{blue}{\text{information}}$$ about a variable.'

My question is where is this $$\color{blue}{\text{information}}$$ given in my particular example for instance?