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Get Booked

Human Vs. Algorithm: September 8, 2022

Get Booked

Book Riot

Society & Culture, Books, Fiction, Arts

4.6577 Ratings

🗓️ 8 September 2022

⏱️ 53 minutes

🧾️ Download transcript

Summary

Jenn and Danika continue fine-tuning Human vs. Algorithm, with recs for Stranger Things read-alikes, law school (kind of), queer Berlin, and more. Follow the podcast via RSS, Apple Podcasts, Spotify, or Stitcher. For a complete list of the questions discussed in this episode, visit our website. This content contains affiliate links. When you buy through these links, we may earn an affiliate commission. BOOKS DISCUSSED Burn Down, Rise Up by Vincent Tirado A Dark and Starless Forest by Sarah Hollowell Radiant Fugitives by Nawaaz Ahmed (rec’d by Cassie) Legally Blonde by Amanda Brown Red, White & Royal Blue by Casey McQuiston  The King of Infinite Space by Lyndsay Faye The Charm Offensive by Alison Cochrun Goodbye to Berlin by Christopher Isherwood Gay Berlin: Birthplace of a Modern Identity by Robert Beachy The Very Secret Society of Irregular Witches by Sangu Mandanna The Yellow House by Sarah M. Broom The Book Eaters by Sunyi Dean Buffalo Is the New Buffalo by Chelsea Vowel Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

This is your latest project.

0:02.0

It's heavy with information, data and exactly 36 pages of waffle.

0:09.0

But with Acrobat Studio, you can create a PDF space,

0:13.0

an AI-powered workspace that turns documents into summaries and insights

0:17.0

and even generates reports or presentations out of it so you can cut through the

0:22.1

waffle work smarter and save time do that with acrobat learn more and try it out on adobe

0:29.0

dot com this is our new reading recommendation experiment, human versus algorithm.

0:49.6

We are recording on August 31st. I'm Jen Northington. I'm here with Danica Ellis, my latest victim.

0:56.7

And we're coming to you from Book Riot. Hello, Danica. Hello. So you have been doing

1:04.4

all the books still, right? I was trying to remember which other podcasts you do. Yeah, just all the

1:09.8

books. Okay. Yeah. So this is a little different.

1:13.3

Yeah. Yeah. It should be a fun, different format to try. Yeah, no doubt. So how this show works is I picked

1:25.3

four listener questions from the get booked archives. Actually, questions are still

1:31.3

coming in. Let's be real. So I looked in the email inbox and the form. I picked some questions.

1:36.7

I tailored them a bit to Danica's, you know, expertise. And then Danica and I split them up. We each took two where we're

1:49.8

giving a personal like human recommendation and then two where we let the algorithm pick for us.

1:56.3

So that is what is happening. This one is interesting because I didn't consider this when I was picking the questions.

2:03.5

We have two questions that didn't actually start with a citation of a specific book.

2:09.1

Yeah.

2:10.0

So I almost swapped them out.

2:12.5

And then I was like, no, wait, this has to work for all of these things.

2:15.7

So I left them in.

...

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