We have a very fragmented media ecosystem.
We have multiple social media platforms.
We have news coming from many different places.
One of the biggest concerns for this
is the ease by which misinformation and disinformation
can spread very quickly from one platform to another,
making it quite difficult to detect.
Tools like artificial intelligence
can be used for both good and bad purposes.
And that's something that I think researchers
in society as a whole are only realizing now.
Fact checkers, I think, are really necessary
to help identify good and bad information,
but computers are really fast at being able to detect it.
What are the tools we can build
that can help fact checkers do their jobs more easily,
that allow them to handle the overflow of misinformation
that comes at them?
How can we use natural language processing
to make them to be more effective in their work,
rather than trying to automate the important decisions?
We'll never get to a place
where our media environment will be absolutely perfect.
The success of good systems are, yes, better systems,
but ultimately we need to have better people
and better society.
Whether you're a journalist who wants to build
trust within your newsroom,
or you're a researcher who's trying to encourage
trust in science,
I think there's a lot of people who care about this problem
and wanna work together to find solutions.