You are listening to the tech policy podcast, the show where we often discuss social media content moderation.

During those conversations, we're often forced to spend a lot of time doing what you might call remedial First Amendment class.

Republicans want to force social media platforms to carry speech.

And on this show, we're always explaining that is obviously unconstitutional.

Democrats sometimes flirt with the idea of trying to just flat out

ban nasty or untruthful speech. Again, no, pretty obviously unconstitutional. Although one of

my guests might disagree with me here, I'm going to gingerly propose that on today's

episode, we might be moving the ball forward a little. Instead of discussing proposals that are

ridiculous and wrong, we're going to discuss a set of ideas that I would categorize as

pretty reasonable, but still wrong.

And maybe there's even a sliver of rights somewhere in there. The topic at hand is algorithmic

amplification. And it's all the rage on the hill these days. We've seen a flurry of bills, some of them bipartisan, that seek to regulate in this area.

I am, of course, your host, Corbyn Barthold.

I'm joined today by Daphne Keller, the director of the program on platform regulation at Stanford University Center for Internet and Society.

I'm also joined by my friend Ari Cohn, Free Speech Council here at Tech Freedom.

Now, whenever I'm working on some big written project that takes a lot of time to complete,

I worry that it will be overtaken by events before it sees the light of day,

that it will just be obsolete and wasted time.

I really have to commend Daphne, whose work I admire so much,

but especially this piece, She wrote a big,

interesting paper that has only become more relevant since it was written. If anything, it called

that a topic would become relevant before most of us were paying much attention to it.

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