If it was truly random, it would not generate useful outputs. You can think of it similar to randomly sampling one of the authors' (of the training data) observ

If it was truly random, it would not generate useful outputs. You can think of it similar to randomly sampling one of the authors' (of the training data) observed ideological lean. One way to model and measure this would be to think of the different possible ideological leans as being in a superposition that you sample from when generating the output. In that sense, you can think of the expectation value of the lean (depending on the specific circumstances of your measurement, i.e. the prefix on input) along with the entropy as the information you can use to describe the gestalt. In a sense this is the same judgement you would make as saying that $SocialNetwork has a "position".