I probably do, even if I heard on the radio this was the person who won.
I might want more depth from my news browser.
We can look at things like level of perceived personalization
which is often measured with surveys.
You ask the person how much do you think what's up here is the same for
everybody versus identifying it with you.
And what we can look at in a very concrete way is a concern
that people have had about news recommenders in particular Balkanization.
Is it possible that we are dividing people into people who read
one set of articles and people who read another set And
they don't have any common ground because they just don't agree on anything.
In politics, you might think of this as warring parties or warring philosophies.
But this could also be true by country, could be true in lots of different ways.
So those are just a couple of examples.
Maybe you have some additions that you'd like to add.
>> Well, there's these are.
Often many of these are difficult to measure.
Because we talk about diversity metrics.
One thing that is an open area of research right now is what, how do we
measure diversity in way that correlates with what people actually see is diverse?
And what diversity means is going to be very domain specific Diversity in
movie recommendation and diversity in news recommendation are not the same thing.
And so you need to have an understanding of what are the factors that drive